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BWM Bibliographical Database

Maintained by

Jafar Rezaei Delft University of Technology

2628 BX Delft, The Netherlands [email protected]

Last update: 07-06-2020

This bibliographical database contains journal papers that have applied or extended the original BWM study:

Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega 53, 49-57.

1. Abadi, F., Sahebi, I., Arab, A., Alavi, A., & Karachi, H. (2018). Application of best-worst method in evaluation of medical tourism development strategy. Decision Science Letters, 7(1), 77-86.

2. Abdi, A., & Taghipour, S. (2019). Forecasting carbon price in the Western Climate Initiative market using Bayesian networks. Carbon Management, 1-14.

3. Abdulkareem, K. H., Arbaiy, N., Zaidan, A. A., Zaidan, B. B., Albahri, O. S., Alsalem, M. A., & Salih, M. M. (2020). A Novel Multi-Perspective Benchmarking Framework for Selecting Image Dehazing Intelligent Algorithms Based on BWM and Group VIKOR Techniques. International Journal of Information Technology & Decision Making, 1-49.

4. Aboutorab, H., Saberi, M., Asadabadi, M. R., Hussain, O., & Chang, E. (2018). ZBWM: The Z-number extension of Best Worst Method and its application for supplier development. Expert Systems with Applications, 107, 115-125.

5. Ahmadi, H. B., Kusi-Sarpong, S., & Rezaei, J. (2017). Assessing the social sustainability of supply chains using Best Worst Method. Resources, Conservation and Recycling, 126, 99-106.

6. Akbari, R., Dabbagh, R., & Ghoushchi, S. J. (2020). HSE risk prioritization of molybdenum operation process using extended FMEA approach based on Fuzzy BWM and Z-WASPAS. Journal of Intelligent & Fuzzy Systems, 38(4), 5157-5173.

7. Akbarian-Saravi, N., Mobini, M., & Rabbani, M. (2020). Development of a comprehensive decision support tool for strategic and tactical planning of a sustainable bioethanol supply chain: Real case study, discussions and policy implications. Journal of Cleaner Production, 244, 118871.

8. Ali, A., & Rashid, T. Hesitant fuzzy best‐worst multi‐criteria decision‐making method and its applications. International Journal of Intelligent Systems.

9. Ali, S. S., Paksoy, T., Torğul, B., & Kaur, R. (2020). Reverse logistics optimization of an industrial air conditioner manufacturing company for designing sustainable supply chain: a fuzzy hybrid multi-criteria decision-making approach. Wireless Networks, 1-24.

10. Ali, T., Chiu, Y. R., Aghaloo, K., & Nahian, A. J. (2020). Prioritizing the existing power generation technologies in Bangladesh's clean energy scheme using a hybrid multi-criteria decision making model. Journal of Cleaner Production, 121901.

11. Ali, T., Ma, H., & Nahian, A. J. (2019). Justification of solar home system in rural Bangladesh based on risk indicators: an integrated multi-criteria decision making approach. International Journal of Renewable Energy Research (IJRER), 9(4), 1948-1956.

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12. Alimohammadlou, M., & Bonyani, A. (2018). A comparative analysis of dynamic and cross-sectional approaches for financial performance analysis. American Journal of Finance and Accounting, 5(3), 253-275.

13. Alimohammadlou, M., & Bonyani, A. (2019). Iran's energy policy after the nuclear deal for cooperation with foreign oil and gas companies. International Journal of Procurement Management, 12(2), 199-218.

14. Almahdi, E. M., Zaidan, A. A., Zaidan, B. B., Alsalem, M. A., Albahri, O. S., & Albahri, A. S. (2019). Mobile-based patient monitoring systems: A prioritisation framework using multi-criteria decision-making techniques. Journal of medical systems, 43(7), 219.

15. Almahdi, E. M., Zaidan, A. A., Zaidan, B. B., Alsalem, M. A., Albahri, O. S., & Albahri, A. S. (2019). Mobile patient monitoring systems from a benchmarking aspect: Challenges, open issues and recommended solutions. Journal of Medical Systems, 43(7), 207.

16. Alsalem, M. A., Zaidan, A. A., Zaidan, B. B., Albahri, O. S., Alamoodi, A. H., Albahri, A. S., & Mohammed, K. I. (2019). Multiclass benchmarking framework for automated acute Leukaemia detection and classification based on BWM and group-VIKOR. Journal of Medical Systems, 43(7), 212.

17. Alsalem, M. A., Zaidan, A. A., Zaidan, B. B., Hashim, M., Albahri, O. S., Albahri, A. S., . & Mohammed, K. I. (2018). Systematic Review of an Automated Multiclass Detection and Classification System for Acute Leukaemia in Terms of Evaluation and Benchmarking, Open Challenges, Issues and Methodological Aspects. Journal of Medical Systems, 42(11), 204.

18. Amiri, E., Alizadeh, E., & Rezvani, M. H. (2020). Controller selection in software defined networks using best-worst multi-criteria decision-making. Bulletin of Electrical Engineering and Informatics, 9(4).

19. Amiri, M., & Emamat, M. S. M. M. (2020). A Goal Programming Model for BWM. INFORMATICA, 31(1), 21-34.

20. Amiri, M., Tabatabaei, M. H., Ghahremanloo, M., Keshavarz-Ghorabaee, M., Zavadskas, E. K., & Antucheviciene, J. (2020). A new fuzzy approach based on BWM and fuzzy preference programming for hospital performance evaluation: A case study. Applied Soft Computing, 106279.

21. Amoozad Mahdiraji, H., Arzaghi, S., Stauskis, G., & Zavadskas, E. K. (2018). A Hybrid Fuzzy BWM-COPRAS Method for Analyzing Key Factors of Sustainable Architecture. Sustainability 10(5), 1626.

22. Anjum, M., Agarwal, V., Kapur, P. K., & Khatri, S. K. (2020). Two-phase methodology for prioritization and utility assessment of software vulnerabilities. International Journal of System Assurance Engineering and Management, 1-12.

23. Arsić, S. N., Pamučar, D., Suknović, M., & Janošević, M. (2019). Menu evaluation based on rough MAIRCA and BW methods. Serbian Journal of Management, 14(1), 27-48.

24. Asadabadi, M. R., Chang, E., Zwikael, O., Saberi, M., & Sharpe, K. (2019). Hidden Fuzzy Information: Requirement specification and measurement of project provider performance using the best worst method. Fuzzy Sets and Systems.

25. Asadabadi, M. R., Chang, E., Zwikael, O., Saberi, M., & Sharpe, K. (2020). Hidden Fuzzy Information: Requirement specification and measurement of project provider performance using the best worst method. Fuzzy Sets and Systems, 383, 127-145.

26. Askarifar, K., Motaffef, Z., & Aazaami, S. (2018). An investment development framework in Iran's seashores using TOPSIS and best-worst multi-criteria decision making methods. Decision Science Letters, 7(1), 55-64.

27. Aslani, B., Rabiee, M., & Tavana, M. (2020). An integrated information fusion and grey multi-criteria decision-making framework for sustainable supplier selection. International Journal of Systems Science: Operations & Logistics, 1-23.



28. Azizi, E., Javanshir, H., & Ebrahimnejad, S. (2019). Presenting an integrated BWM-VIKOR-based approach for selecting suppliers of raw materials in the supply chain with emphasis on agility and flexibility criteria (Case study: Saipa corporation). Scientia Iranica, 26(4), 2601-2614.

29. Badi, I., & Ballem, M. (2018). Supplier selection using the rough BWM-MAIRCA model: A case study in pharmaceutical supplying in Libya. Decision Making: Applications in Management and Engineering, 1(2), 16-33.

30. Bahrami, Y., Hassani, H., & Maghsoudi, A. (2019). BWM-ARAS: A new hybrid MCDM method for Cu prospectivity mapping in the Abhar area, NW Iran. Spatial Statistics, 33, 100382.

31. Bai, C., Kusi-Sarpong, S., Badri Ahmadi, H., & Sarkis, J. (2019). Social sustainable supplier evaluation and selection: a group decision-support approach. International Journal of Production Research, 1-22.

32. Behzad, M., Zolfani, S. H., Pamucar, D., & Behzad, M. (2020). A comparative assessment of solid waste management performance in the Nordic countries based on BWM-EDAS. Journal of Cleaner Production, 122008.

33. Bonyadi Naeini, A., Mojaradi, B., & Zamani, M. (2019). Prevention of Cardiovascular Diseases by Combining GIS and Fuzzy Best-Worst Decision-Making Algorithm in Areas of Tehran. International Journal of Industrial Engineering & Production Research, 30(3), 255-271.

34. Bonyani, A., & Alimohammadlou, M. (2018). Identifying and prioritizing foreign companies interested in participating in post-sanctions Iranian energy sector. Energy Strategy Reviews, 21, 180-190.

35. Bonyani, A., & Alimohammadlou, M. (2019). A novel approach to solve the problems with network structure. Operational Research, 1-19.

36. Brunelli, M., & Rezaei, J. (2019). A multiplicative best–worst method for multi-criteria decision making. Operations Research Letters, 47(1), 12-15.

37. Çalık, A. (2019). Comparison of decision-making approaches to prioritization of clean air action plans for sustainable development. Environmental Health Engineering and Management Journal, 6(4), 257-268.

38. Chang, T. W., Lo, H. W., Chen, K. Y., & Liou, J. J. (2019). A novel FMEA model based on rough BWM and rough TOPSIS-AL for risk assessment. Mathematics, 7(10), 874.

39. Chen, L., & Yu, H. (2019). Emergency Alternative Selection Based on an E-IFWA Approach. IEEE Access, 7, 44431-44440.

40. Chen, L., Wang, Y., & Guo, G. (2019). An Improved Genetic Algorithm for Emergency Decision Making under Resource Constraints Based on Prospect Theory. Algorithms, 12(2), 43.

41. Chen, Z., & Ming, X. (2020). A rough-fuzzy approach integrating best-worst method and data envelopment analysis to multi-criteria selection of smart product service module. Applied Soft Computing, 106479.

42. Chen, Z., Ming, X., Zhou, T., Chang, Y., & Sun, Z. (2020). A hybrid framework integrating rough-fuzzy best-worst method to identify and evaluate user activity-oriented service requirement for smart product service system. Journal of Cleaner Production, 119954.

43. Cheraghalipour, A., & Farsad, S. (2018). A bi-objective sustainable supplier selection and order allocation considering quantity discounts under disruption risks: A case study in plastic industry. Computers & Industrial Engineering.

44. Cheraghalipour, A., Paydar, M. M., & Hajiaghaei-Keshteli, M. (2018). Applying a hybrid BWM-VIKOR approach to supplier selection: a case study in the Iranian agricultural implements industry. International Journal of Applied Decision Sciences, 11(3), 274-301.



45. Chitsaz, N., & Azarnivand, A. (2017). Water Scarcity Management in Arid Regions Based on an Extended Multiple Criteria Technique. Water Resources Management, 31(1), 233–250.

46. Darko, A. P., & Liang, D. (2020). Some q-rung orthopair fuzzy Hamacher aggregation operators and their application to multiple attribute group decision making with modified EDAS method. Engineering Applications of Artificial Intelligence, 87, 103259.

47. De Prieëlle, F., De Reuver, M., & Rezaei, J. (2020). The Role of Ecosystem Data Governance in Adoption of Data Platforms by Internet-of-Things Data Providers: Case of Dutch Horticulture Industry. IEEE Transactions on Engineering Management.

48. Delkhosh, F., & Sadjadi, S. J. (2019). A robust optimization model for a biofuel supply chain under demand uncertainty. International Journal of Energy and Environmental Engineering, 1-17.

49. Ding, X. F., & Liu, H. C. (2019). A new approach for emergency decision‐making based on zero‐sum game with Pythagorean fuzzy uncertain linguistic variables. International Journal of Intelligent Systems.

50. Dong, P., Zhang, T., Ju, Y., & Wang, A. (2020). A novel multi-attribute decision-making framework based on Z-RIM: an illustrative example of cloud service selection. Soft Computing, 1-15.

51. Dragan Krstić, M., Radoman Tadić, S., Brnjac, N., & Zečević, S. (2019). Intermodal Terminal Handling Equipment Selection Using a Fuzzy Multi-criteria Decision-making Model. Promet-Traffic&Transportation, 31(1), 89-100.

52. Ecer, F., & Pamucar, D. (2020). Sustainable supplier selection: A novel integrated fuzzy best worst method (F-BWM) and fuzzy CoCoSo with Bonferroni (CoCoSo'B) multi-criteria model. Journal of Cleaner Production, 121981.

53. Er Kara, M., & Oktay Fırat, S.Ü. (2018). Supplier Risk Assessment Based on Best-Worst Method and K-Means Clustering: A Case Study. Sustainability, 10(4), 1066.

54. Fan, J. P., Guo, Z. W., & Wu, M. Q. (2020). An Improvement of DEA Cross-Efficiency Aggregation Based on BWM-TOPSIS. IEEE Access, 8, 37334-37342.

55. Fartaj, S. R., Kabir, G., Eghujovbo, V., Ali, S. M., & Paul, S. K. (2019). Modeling transportation disruptions in the supply chain of automotive parts manufacturing company. International Journal of Production Economics, 107511.

56. Fei, L., Lu, J., & Feng, Y. (2020). An extended best-worst multi-criteria decision-making method by belief functions and its applications in hospital service evaluation. Computers & Industrial Engineering, 142, 106355.

57. Fu, C., Chang, W., Xu, D., & Yang, S. (2019). An evidential reasoning approach based on criterion reliability and solution reliability. Computers & Industrial Engineering, 128, 401-417.

58. Gan, J., Zhong, S., Liu, S., & Yang, D. (2019). Resilient Supplier Selection Based on Fuzzy BWM and GMo-RTOPSIS under Supply Chain Environment. Discrete Dynamics in Nature and Society, 2019.

59. Garg, C. P., & Sharma, A. (2020). Sustainable outsourcing partner selection and evaluation using an integrated BWM–VIKOR framework. Environment, Development and Sustainability, 22(2), 1529-1557.

60. Ghaffari, S., Arab, A., Nafari, J. & Manteghi, M. (2017). Investigation and evaluation of key success factors in technological innovation development based on BWM, Decision Science Letters, 6(3), 295-306.

61. Ghoushchi, S. J., Yousefi, S., & Khazaeili, M. (2019). An extended FMEA approach based on the Z-MOORA and fuzzy BWM for prioritization of failures. Applied Soft Computing, 81, 105505.

62. Gigović, L., Drobnjak, S., & Pamučar, D. (2019). The application of the hybrid gis spatial multi-criteria decision analysis best–worst methodology for landslide susceptibility mapping. ISPRS International Journal of Geo-Information, 8(2), 79.



63. Gölcük, İ. (2020). An interval type-2 fuzzy reasoning model for digital transformation project risk assessment. Expert Systems with Applications, 113579.

64. Gómez-Limón, J. A., Arriaza, M., & Guerrero-Baena, M. D. (2020). Building a Composite Indicator to Measure Environmental Sustainability Using Alternative Weighting Methods. Sustainability, 12(11), 4398.

65. Govindan, K., Jha, P. C., Agarwal, V., & Darbari, J. D. (2019). Environmental management partner selection for reverse supply chain collaboration: A sustainable approach. Journal of environmental management, 236, 784-797.

66. Govindan, K., Shankar, K. M., & Kannan, D. (2020). Achieving sustainable development goals through identifying and analyzing barriers to industrial sharing economy: A framework development. International Journal of Production Economics, 227, 107575.

67. Groenendijk, L., Rezaei, J., & Correia, G. (2018). Incorporating the travellers’ experience value in assessing the quality of transit nodes: A Rotterdam case study. Case Studies on Transport Policy, 6(4), 564-576.

68. Guo, S., & Zhao, H. (2017). Fuzzy best-worst multi-criteria decision-making method and its applications. Knowledge-Based Systems, 121, 23-31.

69. Guo, S., Zhang, W., & Gao, X. (2020). Business Risk Evaluation of Electricity Retail Company in China Using a Hybrid MCDM Method. Sustainability, 12(5), 2040.

70. Gupta, H. (2018). Assessing organizations performance on the basis of GHRM practices using BWM and Fuzzy TOPSIS. Journal of Environmental Management, 226, 201-216.

71. Gupta, H. (2018). Evaluating service quality of airline industry using hybrid best worst method and VIKOR. Journal of Air Transport Management, 68, 35-47.

72. Gupta, H., & Barua, M. K. (2016). Identifying enablers of technological innovation for Indian MSMEs using best–worst multi criteria decision making method. Technological Forecasting and Social Change, 107, 69-79.

73. Gupta, H., & Barua, M. K. (2017). Supplier selection among SMEs on the basis of their green innovation ability using BWM and fuzzy TOPSIS. Journal of Cleaner Production, 152, 242–258.

74. Gupta, H., & Barua, M. K. (2018). A framework to overcome barriers to green innovation in SMEs using BWM and Fuzzy TOPSIS. Science of The Total Environment, 633, 122-139.

75. Gupta, H., & Barua, M. K. (2018). A novel hybrid multi-criteria method for supplier selection among SMEs on the basis of innovation ability. International Journal of Logistics Research and Applications, 21(3), 201-223.

76. Gupta, H., Kusi-Sarpong, S., & Rezaei, J. (2020). Barriers and overcoming strategies to supply chain sustainability innovation. Resources, Conservation and Recycling, 161, 104819.

77. Gupta, M. K., Swain, A. K., & Jain, P. K. (2019). A novel approach to recognize interacting features for manufacturability evaluation of prismatic parts with orthogonal features. The International Journal of Advanced Manufacturing Technology, 105(1-4), 343-373.

78. Gupta, P., Anand, S., & Gupta, H. (2017). Developing a roadmap to overcome barriers to energy efficiency in buildings using best-worst multi-criteria decision making methodology. Sustainable Cities and Society, 31, 244-259.

79. Gustriansyah, R., Suhandi, N., & Antony, F. (2019). The Design of UML-Based Sales Forecasting Application. Int. J. Recent Technol. Eng, 7(6), 1507-1511.

80. Haddad, M. J. M., Sanders, D., & Tewkesbury, G. (2019). Selecting a discrete Multiple Criteria Decision Making method to decide on a corporate relocation. Archives of Business Research, 7(5).



81. Haeri, S. A. S., & Rezaei, J. (2019). A grey-based green supplier selection model for uncertain environments. Journal of Cleaner Production, 221, 768-784.

82. Hafezalkotob, A., & Hafezalkotob, A. (2017). A novel approach for combination of individual and group decisions based on fuzzy best-worst method. Applied Soft Computing, 59, 316-325.

83. Hafezalkotob, A., Hafezalkotob, A., Liao, H., & Herrera, F. (2019). Interval MULTIMOORA method integrating interval borda rule and interval best-worst-method-based weighting model: Case study on hybrid vehicle engine selection. IEEE Transactions on Cybernetics.

84. Hafezalkotob, A., Hami-Dindar, A., Rabie, N., & Hafezalkotob, A. (2018). A decision support system for agricultural machines and equipment selection: A case study on olive harvester machines. Computers and Electronics in Agriculture, 148, 207-216.

85. Hashemizadeh, A., Ju, Y., & Dong, P. (2019). A combined geographical information system and Best–Worst Method approach for site selection for photovoltaic power plant projects. International Journal of Environmental Science and Technology, 1-16.

86. Hendiani, S., Mahmoudi, A., & Liao, H. (2020). A multi-stage multi-criteria hierarchical decision-making approach for sustainable supplier selection. Applied Soft Computing, 94, 106456.

87. Huang, J., You, X. Y., Liu, H. C., & Si, S. L. (2019). New approach for quality function deployment based on proportional hesitant fuzzy linguistic term sets and prospect theory. International Journal of Production Research, 57(5), 1283-1299.

88. Huang, M., Zhang, X., Ruxue, R. E. N., Liao, H., Zavadskas, E. K., & Antuchevičienė, J. (2020). Energy-saving building program evaluation with an integrated method under linguistic environment. Journal of civil engineering and management, 26(5), 447-458.

89. Hussain, A., Chun, J., & Khan, M. (2020). A novel customer-centric Methodology for Optimal Service Selection (MOSS) in a cloud environment. Future Generation Computer Systems, 105, 562-580.

90. Hussain, A., Chun, J., & Khan, M. (2020). A novel framework towards viable Cloud Service Selection as a Service (CSSaaS) under a fuzzy environment. Future Generation Computer Systems, 104, 74-91.

91. Ibarra-Rojas, O. J., Ozuna, L., & López-Piñón, D. (2019). The maximal covering location problem with accessibility indicators. Socio-Economic Planning Sciences, 100758.

92. Ibrahim, N. K., Hammed, H., Zaidan, A. A., Zaidan, B. B., Albahri, O. S., Alsalem, M. A., ... & Baqer, M. J. (2019). Multi-Criteria Evaluation and Benchmarking for Young Learners’ English Language Mobile Applications in Terms of LSRW Skills. IEEE Access, 7, 146620-146651.

93. Ishizaka, A., & Resce, G. (2020). Best-Worst PROMETHEE method for evaluating school performance in the OECD's PISA project. Socio-Economic Planning Sciences, 100799.

94. Jafarzadeh Ghoushchi, S., Khazaeili, M., Amini, A., & Osgooei, E. (2019). Multi-criteria sustainable supplier selection using piecewise linear value function and fuzzy best-worst method. Journal of Intelligent & Fuzzy Systems, 37(2), 2309-2325.

95. Javad, M. O. M., & Darvishi, M. (2020). Green Supplier Selection for the Steel Industry Using BWM and Fuzzy TOPSIS: A case study of Khouzestan Steel Company. Sustainable Futures, 100012.

96. Jelokhani-Niaraki, M., Hajiloo, F., & Samany, N. N. (2019). A web-based public participation GIS for assessing the age-friendliness of cities: A case study in Tehran, Iran. Cities, 95, 102471.

97. Jia, F., & Wang, X. (2020). Rough-Number-Based Multiple-Criteria Group Decision-Making Method by Combining the BWM and Prospect Theory. Mathematical Problems in Engineering, 2020.

98. Joshi, K. P., & Lohiya, N. (2016). Improved Seating Plans for Movie Theatre to Improve Revenue: An Integrated Best Worst. Handbook of Research on Intelligent Techniques and Modeling Applications in Marketing Analytics, 149.



99. Karimi, H., Sadeghi-Dastaki, M., & Javan, M. (2020). A fully fuzzy best–worst multi attribute decision making method with triangular fuzzy number: A case study of maintenance assessment in the hospitals. Applied Soft Computing, 86, 105882.

100. Kaswan, M. S., & Rathi, R. (2020). Investigating the enablers associated with implementation of Green Lean Six Sigma in manufacturing sector using Best Worst Method. Clean Technologies and Environmental Policy, 1-12.

101. Kaswan, M. S., Rathi, R., & Singh, M. (2019). Just in time elements extraction and prioritization for health care unit using decision making approach. International Journal of Quality & Reliability Management.

102. Kaushik, V., Kumar, A., Gupta, H., & Dixit, G. (2020). Modelling and prioritizing the factors for online apparel return using BWM approach. Electronic Commerce Research, 1-31.

103. Ketabchi, R., & Ghaeli, M. (2019). An application of fuzzy BWM for risk assessment in offshore oil projects. Journal of Project Management, 4(3), 233-240.

104. Khalilzadeh, M., Balafshan, R., & Hafezalkotob, A. (2020). Multi-objective mathematical model based on fuzzy hybrid multi-criteria decision-making and FMEA approach for the risks of oil and gas projects. Journal of Engineering, Design and Technology.

105. Khan, M. I., Khan, S., & Haleem, A. (2019). Analysing barriers towards management of Halal supply chain: a BWM approach. Journal of Islamic Marketing.

106. Khan, N. Z., Shihab, S. K., Attri, R., Siddiquee, A. N., & Khan, Z. A. (2019). Prioritization of lower back pain risk factors among industrial workers using the best–worst method. International Journal of Occupational Safety and Ergonomics, 1-8.

107. Khanmohammadi, E., Zandieh, M., & Tayebi, T. (2019). Drawing a Strategy Canvas Using the Fuzzy Best–Worst Method. Global Journal of Flexible Systems Management, 20(1), 57-75.

108. Kheybari, S., Davoodi Monfared, M., Farazmand, H., & Rezaei, J. (2020). Sustainable Location Selection of Data Centers: Developing a Multi-Criteria Set-Covering Decision-Making Methodology. International Journal of Information Technology & Decision Making, 19(03), 741-773.

109. Kheybari, S., Kazemi, M., & Rezaei, J. (2019). Bioethanol facility location selection using best-worst method. Applied Energy, 242, 612-623.

110. Kheybari, S., Rezaie, F. M., & Rezaei, J. (2019). Measuring the Importance of Decision-Making Criteria in Biofuel Production Technology Selection. IEEE Transactions on Engineering Management.

111. Kheybari, S., Rezaie, F. M., Naji, S. A., Javdanmehr, M., & Rezaei, J. (2020). Evaluation of factors contributing to the failure of information systems in public universities: The case of Iran. Information Systems, 101534.

112. Kocak, H., Caglar, A., & Oztas, G. Z. (2018). Euclidean Best–Worst Method and Its Application. International Journal of Information Technology & Decision Making, 17(05), 1587-1605.

113. Kolagar, M. (2019). Adherence to Urban Agriculture in Order to Reach Sustainable Cities; a BWM–WASPAS Approach. Smart Cities, 2(1), 31-45.

114. Kolagar, M., Hosseini, S. M. H., & Felegari, R. (2020). Developing a new BWM-based GMAFMA approach for evaluation of potential risks and failure modes in production processes. International Journal of Quality & Reliability Management.

115. Kolagar, M., Hosseini, S. M. H., Felegari, R., & Fattahi, P. (2019). Policy-making for renewable energy sources in search of sustainable development: a hybrid DEA-FBWM approach. Environment Systems and Decisions, 1-25.



116. Kujlu, R., Moslemzadeh, M., Rahimi, S., Aghayani, E., Ghanbari, F., & Mahdavianpour, M. (2020). Selecting the best stabilization/solidification method for the treatment of oil-contaminated soils using simple and applied best-worst multi-criteria decision-making method. Environmental Pollution, 114447.

117. Kumar, A., & Anbanandam, R. (2020). Assessment of environmental and social sustainability performance of the freight transportation industry: An index-based approach. Transport Policy.

118. Kumar, A., & Ramesh, A. (2020). An MCDM framework for assessment of social sustainability indicators of the freight transport industry under uncertainty. A multi-company perspective. Journal of Enterprise Information Management.

119. Kumar, A., Aswin, A., & Gupta, H. (2020). Evaluating green performance of the airports using hybrid BWM and VIKOR methodology. Tourism Management, 76, 103941.

120. Kumar, A., Mangla, S. K., Luthra, S., & Ishizaka, A. (2019). Evaluating the human resource related soft dimensions in green supply chain management implementation. Production Planning & Control, 30(9), 699-715.

121. Kusi-Sarpong, S., Gupta, H., & Sarkis, J. (2019). A supply chain sustainability innovation framework and evaluation methodology. International Journal of Production Research, 57(7), 1990-2008.

122. Li, J., Wang, J. Q., & Hu, J. H. (2019). Multi-criteria decision-making method based on dominance degree and BWM with probabilistic hesitant fuzzy information. International Journal of Machine Learning and Cybernetics, 10(7), 1671-1685.

123. Li, N., Zhang, H., Zhang, X., Ma, X., & Guo, S. (2020). How to Select the Optimal Electrochemical Energy Storage Planning Program? A Hybrid MCDM Method. Energies, 13(4), 931.

124. Li, X., Li, B., Zhao, L., Zhao, H., Xue, W., & Guo, S. (2019). Forecasting the Short-Term Electric Load Considering the Influence of Air Pollution Prevention and Control Policy via a Hybrid Model. Sustainability, 11(10), 2983.

125. Li, X., Ran, Y., Zhang, G., & He, Y. (2019). A failure mode and risk assessment method based on cloud model. Journal of Intelligent Manufacturing, 1-14.

126. Liang, F., Brunelli, M., & Rezaei, J. (2019). Consistency Issues in the Best Worst Method: Measurements and Thresholds. Omega, 102175.

127. Liao, H., Wen, Z., & Liu, L. (2019). Integrating BWM and ARAS under hesitant linguistic environment for digital supply chain finance supplier section. Technological and Economic Development of Economy, 25(6), 1188-1212.

128. Lin, R., Liu, Y., Man, Y., & Ren, J. (2019). Towards a sustainable distributed energy system in China: decision-making for strategies and policy implications. Energy, Sustainability and Society, 9(1), 1-25.

129. Liu, A., Ji, X., Lu, H., & Liu, H. (2019). The selection of 3PRLs on self-service mobile recycling machine: Interval-valued pythagorean hesitant fuzzy best-worst multi-criteria group decision-making. Journal of Cleaner Production, 230, 734-750.

130. Liu, A., Liu, T., Ji, X., Lu, H., & Li, F. (2020). The Evaluation Method of Low-Carbon Scenic Spots by Combining IBWM with B-DST and VIKOR in Fuzzy Environment. International Journal of Environmental Research and Public Health, 17(1), 89.

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254. Satapathy, S., & Mishra, D. (2020). Barriers in Sharing of Agricultural Information in Odisha (India): A Critical Study of Small-Scale Farmers. In Innovative Product Design and Intelligent Manufacturing Systems (pp. 907-915). Springer, Singapore.

255. Serag, A., Abu-Samra, S., & Zayed, T. (2020). Level of Service-Based Asset Management Framework for Water Supply Systems. Journal of Pipeline Systems Engineering and Practice, 11(3), 04020026.

256. Serrai, W., Abdelli, A., Mokdad, L., & Hammal, Y. (2017). Towards an efficient and a more accurate web service selection using MCDM methods. Journal of Computational Science, 22, 253-267.

257. Shao, Q., Weng, S. S., Liou, J. J., Lo, H. W., & Jiang, H. (2019). Developing A Sustainable Urban-Environmental Quality Evaluation System in China Based on A Hybrid Model. International Journal of Environmental Research and Public Health, 16(8), 1434.

258. Sharifi, E., Sadjadi, S. J., Aliha, M. R. M., & Moniri, A. (2020). Optimization of high-strength self-consolidating concrete mix design using an improved Taguchi optimization method. Construction and Building Materials, 236, 117547.

259. Sharifi, E., Sadjadi, S. J., Aliha, M. R. M., & Moniri, A. (2020). Optimization of high-strength self-consolidating concrete mix design using an improved Taguchi optimization method. Construction and Building Materials, 236, 117547.

260. Sharma, Y. K., Mangla, S. K., & Patil, P. P. (2019). Analyzing Challenges to Transportation for Successful Sustainable Food Supply Chain Management Implementation in Indian Dairy Industry. In Information and Communication Technology for Competitive Strategies (pp. 409-418). Springer, Singapore.

261. Shojaei, P., Haeri, S. A. S., & Mohammadi, S. (2018). Airports evaluation and ranking model using Taguchi loss function, best-worst method and VIKOR technique. Journal of Air Transport Management, 68, 4-13.

262. Sofuoğlu, M. A. (2020). Fuzzy applications of Best–Worst method in manufacturing environment. Soft Computing, 24(1), 647-659.

263. Sofuoğlu, M. A., & Orak, S. (2017). A Novel Hybrid Multi Criteria Decision Making Model: Application to Turning Operations. International Journal of Intelligent Systems and Applications in Engineering, 5(3), 124-131.

264. Sofuoğlu, M.A., Arapoglu, R.A., & Orak, S. (2017). Multi objective optimization of turning operation using hybrid decision making analysis. Anadolu University Journal of Science and Technology A- Applied Sciences and Engineering, 18(3), 595-610.

265. Sotoudeh-Anvari, A., Sadjadi, S., Molana, S., & Sadi-Nezhad, S. (2018). A new MCDM-based approach using BWM and SAW for optimal search model. Decision Science Letters, 7(4), 395-404.



266. Stević, Ž., Đalić, I., Pamučar, D., Nunić, Z., Vesković, S., Vasiljević, M., & Tanackov, I. (2019). A new hybrid model for quality assessment of scientific conferences based on Rough BWM and SERVQUAL. Scientometrics, 119(1), 1-30.

267. Stević, Ž., Pamučar, D., Subotić, M., Antuchevičiene, J., & Zavadskas, E. (2018). The Location Selection for Roundabout Construction Using Rough BWM-Rough WASPAS Approach Based on a New Rough Hamy Aggregator. Sustainability, 10(8), 2817.

268. Subotić, M., Stević, B., Ristić, B., & Simić, S. (2020). The selection of a location for potential roundabout construction–a case study of Doboj. Operational Research in Engineering Sciences: Theory and Applications, 3(1), 41-56.

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272. Talib, F., Asjad, M., Attri, R., Siddiquee, A. N., & Khan, Z. A. (2019). Ranking model of total quality management enablers in healthcare establishments using the best-worst method. The TQM Journal.

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274. Tian, Z. P., Nie, R. X., Wang, J. Q., & Li, L. (2019). Group multigranular linguistic QFD for prioritizing service designs with combined weighting method. Expert Systems, e12419.

275. Tian, Z. P., Wang, J. Q., & Zhang, H. Y. (2018). An integrated approach for failure mode and effects analysis based on fuzzy best-worst, relative entropy, and VIKOR methods. Applied Soft Computing, 72, 636-646.

276. Tian, Z. P., Wang, J. Q., Wang, J., & Zhang, H. Y. (2018). A multi-phase QFD-based hybrid fuzzy MCDM approach for performance evaluation: A case of smart bike-sharing programs in Changsha. Journal of Cleaner Production, 171, 1068-1083.

277. Tiwong, S., Ramingwong, S., & Tippayawong, K. Y. (2020). On LSP Lifecycle Model to Re-design Logistics Service: Case Studies of Thai LSPs. Sustainability, 12(6), 2394.

278. Torabi, S. A., Giahi, R., & Sahebjamnia, N. (2016). An enhanced risk assessment framework for business continuity management systems. Safety Science, 89, 201-218.

279. Torbati, A. R., & Sayadi, M. K. (2018). A New Approach to Investigate the Performance of Insurance Branches in Iran Using Best-Worst Method and Fuzzy Inference System. Journal of Soft Computing and Decision Support Systems, 5(4), 13-18.

280. Torkayesh, S. E., Iranizad, A., Torkayesh, A. E., & Basit, M. N. (2020). Application of BWM-WASPAS model for digital supplier selection problem: A case study in online retail shopping. Journal of Industrial Engineering and Decision Making, 1(1), 12-23.

281. Vafadarnikjoo, A., Tavana, M., Botelho, T., & Chalvatzis, K. A neutrosophic enhanced best–worst method for considering decision-makers’ confidence in the best and worst criteria. Annals of Operations Research, 1-28.



282. Vahidi, F., Torabi, S. A., & Ramezankhani, M. J. (2018). Sustainable supplier selection and order allocation under operational and disruption risks. Journal of Cleaner Production, 174, 1351-1365.

283. van de Kaa, G., Fens, T., & Rezaei, J. (2019). Residential grid storage technology battles: a multi-criteria analysis using BWM. Technology Analysis & Strategic Management, 31(1), 40-52.

284. Van de Kaa, G., Fens, T., Rezaei, J., Kaynak, D., Hatun, Z., & Tsilimeni-Archangelidi, A. (2019). Realizing smart meter connectivity: Analyzing the competing technologies Power line communication, mobile telephony, and radio frequency using the best worst method. Renewable and Sustainable Energy Reviews, 103, 320-327.

285. van de Kaa, G., Janssen, M., & Rezaei, J. (2018). Standards battles for business-to-government data exchange: Identifying success factors for standard dominance using the Best Worst Method. Technological Forecasting and Social Change, 137, 182-189.

286. van de Kaa, G., Kamp, L., & Rezaei, J. (2017). Selection of biomass thermochemical conversion technology in the Netherlands: a Best Worst Method approach. Journal of Cleaner Production, 166, 32-39.

287. van de Kaa, G., Rezaei, J., Taebi, B., van de Poel, I., & Kizhakenath, A. (2020). How to weigh values in value sensitive design: A best worst method approach for the case of smart metering. Science and Engineering Ethics, 26(1), 475-494.

288. van de Kaa, G., Scholten, D., Rezaei, J., & Milchram, C. (2017). The Battle between Battery and Fuel Cell Powered Electric Vehicles: A BWM Approach. Energies, 10(11), 1707.

289. van de Kaa, G., van den Eijnden, L., & Doorn, N. (2020). Filtering Out Standard Success Criteria in the Case of Multi-Mode Standardization: Responsible Waste Water Treatment. Sustainability, 12(4), 1641.

290. van de Kaa, G., van Ek, M., Kamp, L. M., & Rezaei, J. (2020). Wind turbine technology battles: Gearbox versus direct drive-opening up the black box of technology characteristics. Technological Forecasting and Social Change, 153, 119933.

291. Vanolya, N. M., Jelokhani-Niaraki, M., & Toomanian, A. (2019). Validation of spatial multicriteria decision analysis results using public participation GIS. Applied Geography, 112, 102061.

292. Vishnupriyan, J., & Manoharan, P. S. (2018). Multi-criteria decision analysis for renewable energy integration: A southern India focus. Renewable Energy, 121, 474-488.

293. Wan Ahmad, W.N.K., Rezaei, J., Sadaghiani, S., Tavassz, L.A. (2017). Evaluation of the external forces affecting the sustainability of oil and gas supply chain using Best Worst Method, Journal of Cleaner Production, 153, 242–252.

294. Wang, F., Wang, J., Ren, J., Li, Z., Nie, X., Tan, R. R., & Jia, X. (2020). Continuous improvement strategies for environmental risk mitigation in chemical plants. Resources, Conservation and Recycling, 160, 104885.

295. Wang, J., Ye, N., & Ge, L. (2020). Steady-State Power Quality Synthetic Evaluation Based on the Triangular Fuzzy BW Method and Interval VIKOR Method. Applied Sciences, 10(8), 2839.

296. Wang, T., & Fu, Y. (2019). Constructing Composite Indicators with Individual Judgements and Best–Worst Method: An Illustration of Value Measure. Social Indicators Research, 1-14.

297. Wang, Y., & Jin, X. (2019). Structural risk of diversified project financing of city investment company in China based on the best worst method. Engineering, Construction and Architectural Management.

298. Wang, Z., Xu, G., Lin, R., Wang, H., & Ren, J. (2019). Energy performance contracting, risk factors, and policy implications: Identification and analysis of risks based on the best-worst network method. Energy, 170, 1-13.



299. Wang, Z., Xu, G., Ren, J., Li, Z., Zhang, B., & Ren, X. (2017). Polygeneration system and sustainability: Multi-attribute decision-support framework for comprehensive assessment under uncertainties. Journal of Cleaner Production, 167, 1122-1137.

300. Wu, Q., Zhou, L., Chen, Y., & Chen, H. (2019). An integrated approach to green supplier selection based on the interval type-2 fuzzy best-worst and extended VIKOR methods. Information Sciences.

301. Wu, Y., Yan, Y., Wang, S., Liu, F., Xu, C., & Zhang, T. (2019). Study on location decision framework of agroforestry biomass cogeneration project: A case of China. Biomass and Bioenergy, 127, 105289.

302. Wu, Z., Zhang, S., Liu, X., & Wu, J. (2019). Best-Worst Multi-Attribute Decision Making Method Based on New Possibility Degree With Probabilistic Linguistic Information. IEEE Access, 7, 133900-133913.

303. Xie, L., He, J., Cheng, P., Xiao, R., & Zhou, X. (2019). A Multi-Criteria 2-Tuple Linguistic Group Decision-Making Method Based on TODIM for Cholecystitis Treatments Selection. IEEE Access, 7, 127967-127986.

304. Xu, D. (2020). Sustainability prioritization of energy systems by developing an integrated decision support framework with hybrid-data consideration. Sustainable Energy Technologies and Assessments, 39, 100719.

305. Xu, D., & Dong, L. (2020). Comprehensive evaluation of sustainable ammonia production systems based on fuzzy multiattribute decision making under hybrid information. Energy Science & Engineering.

306. Xu, D., Li, W., Ren, X., Shen, W., & Dong, L. (2019). Technology selection for sustainable hydrogen production: A multi-criteria assessment framework under uncertainties based on the combined weights and interval best-worst projection method. International Journal of Hydrogen Energy.

307. Yadav, G., Luthra, S., Jakhar, S. K., Mangla, S. K., & Rai, D. P. (2020). A framework to overcome sustainable supply chain challenges through solution measures of industry 4.0 and circular economy: An automotive case. Journal of Cleaner Production, 254, 120112.

308. Yadav, G., Mangla, S. K., Luthra, S., & Jakhar, S. (2018). Hybrid BWM-ELECTRE-based decision framework for effective offshore outsourcing adoption: a case study. International Journal of Production Research, 56(18), 6259-6278.

309. Yadav, G., Mangla, S. K., Luthra, S., & Rai, D. P. (2019). Developing a sustainable smart city framework for developing economies: An Indian context. Sustainable Cities and Society, 47, 101462.

310. Yadollahi, S., Kazemi, A., & Ranjbarian, B. (2018). Identifying and prioritizing the factors of service experience in banks: A Best-Worst method. Decision Science Letters, 7(4), 455-464.

311. Yang, C., Wang, Q., Peng, W., & Zhu, J. (2020). A Multi-Criteria Group Decision-Making Approach Based on Improved BWM and MULTIMOORA with Normal Wiggly Hesitant Fuzzy Information. International Journal of Computational Intelligence Systems, 13(1), 366-381.

312. Yang, J. J., Chuang, Y. C., Lo, H. W., & Lee, T. I. (2020). A Two-Stage MCDM Model for Exploring the Influential Relationships of Sustainable Sports Tourism Criteria in Taichung City. International Journal of Environmental Research and Public Health, 17(7), 2319.

313. Yang, J. J., Lo, H. W., Chao, C. S., Shen, C. C., & Yang, C. C. (2020). Establishing a Sustainable Sports Tourism Evaluation Framework with a Hybrid Multi-Criteria Decision-Making Model to Explore Potential Sports Tourism Attractions in Taiwan. Sustainability, 12(4), 1673.

314. Yang, Q., Zhang, Z., You, X., & Chen, T. (2016). Evaluation and classification of overseas talents in China based on the BWM for intuitionistic relations, Symmetry 2016, 8(11), 1-18.

315. Yapa, K., Durmus, M., Tayyar, N., & Akbulut, İ. (2020). Comparison of the European Union Countries and Turkey's Macroeconomic Indicators with Best Worst Method. In Handbook of Research on Social and Economic Development in the European Union (pp. 204-219). IGI Global.



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317. Yazdani, M., Tavana, M., Pamučar, D., & Chatterjee, P. (2020). A rough based multi-criteria evaluation method for healthcare waste disposal location decisions. Computers & Industrial Engineering, 106394.

318. Yazdi, A. K., Komijan, A. R., Wanke, P. F., & Sardar, S. (2020). Oil project selection in Iran: A hybrid MADM approach in an uncertain environment. Applied Soft Computing, 88, 106066.

319. Yazdi, M., Khan, F., Abbassi, R., & Rusli, R. (2020). Improved DEMATEL methodology for effective safety management decision-making. Safety Science, 127, 104705.

320. Yazdi, M., Nedjati, A., Zarei, E., & Abbassi, R. (2020). A reliable risk analysis approach using an extension of best-worst method based on democratic-autocratic decision-making style. Journal of Cleaner Production, 256, 120418.

321. You, P., Guo, S., Zhao, H., & Zhao, H. (2017). Operation Performance Evaluation of Power Grid Enterprise Using a Hybrid BWM-TOPSIS Method. Sustainability, 9(12), 2329.

322. You, X., Chen, T., & Yang, Q. (2016). Approach to Multi-Criteria Group Decision-Making Problems Based on the Best-Worst-Method and ELECTRE Method. Symmetry, 8(9), 95.

323. Youssef, A. E. (2020). An Integrated MCDM Approach for Cloud Service Selection Based on TOPSIS and BWM. IEEE Access, 8, 71851-71865.

324. Yucesan, M., & Gul, M. (2019). Failure prioritization and control using the neutrosophic best and worst method. Granular Computing, 1-15.

325. Yucesan, M., Mete, S., Serin, F., Celik, E., & Gul, M. (2019). An integrated best-worst and interval type-2 fuzzy topsis methodology for green supplier selection. Mathematics, 7(2), 182.

326. Zandieh, M., & Aslani, B. (2019). A hybrid MCDM approach for order distribution in a multiple-supplier supply chain: A case study. Journal of Industrial Information Integration, 16, 100104.

327. Zang, X., Krebs, E., Min, J. E., Pandya, A., Marshall, B. D., Schackman, B. R., ... & Nosyk, B. (2020). Development and calibration of a dynamic HIV transmission model for 6 US cities. Medical Decision Making, 40(1), 3-16.

328. Zare, A., Malakoutikhah, M., & Alimohammadlou, M. (2019). Selecting lighting system based on workers’ cognitive performance using fuzzy best–worst method and QUALIFLEX. Cognition, Technology & Work, 1-12.

329. Zavadskas, E.K., Stevic, Ž., Tanackov, I., & Prentkovskis, O. (2018). A Novel Multicriteria Approach–Rough Step-Wise Weight Assessment Ratio Analysis Method (R-SWARA) and Its Application in Logistics. Studies in Informatics and Control, 27(1), 97-106.

330. Zhang, F., Fang, H., & Song, W. (2019). Carbon market maturity analysis with an integrated multi-criteria decision making method: A case study of EU and China. Journal of Cleaner Production, 241, 118296.

331. Zhang, H., Peng, Y., Hou, L., Tian, G., & Li, Z. (2019). A hybrid multi-objective optimization approach for energy-absorbing structures in train collisions. Information Sciences, 481, 491-506.

332. Zhang, H., Yin, C., Qi, X., Zhang, R., Kang, X., (2017). Cognitive Best Worst Method for Multi-Attribute Decision Making, Mathematical Problems in Engineering.

333. Zhang, X., Sun, B., Chen, X., Chu, X., & Yang, J. An approach to evaluating sustainable supply chain risk management based on BWM and linguistic value soft set theory. Journal of Intelligent & Fuzzy Systems, (Preprint), 1-14.



334. Zhang, Z., Liao, H., Al-Barakati, A., Zavadskas, E. K., & Antuchevičienė, J. (2020). Supplier selection for housing development by an integrated method with interval rough boundaries. International Journal of Strategic Property Management, 24(4), 269-284.

335. Zhao, G., Kang, T., Guo, J., Zhang, R., & Li, L. (2019). Gray Relational Analysis Optimization for Coalbed Methane Blocks in Complex Conditions Based on a Best Worst and Entropy Method. Applied Sciences, 9(23), 5033.

336. Zhao, H., Guo, S., & Zhao, H. (2018). Comprehensive benefit evaluation of eco-industrial parks by employing the best-worst method based on circular economy and sustainability. Environment, development and sustainability, 20(3), 1229-1253.

337. Zhao, H., Guo, S., & Zhao, H. (2018). Comprehensive Performance Assessment on Various Battery Energy Storage Systems. Energies, 11(10), 2841.

338. Zhao, H., Guo, S., & Zhao, H. (2019). Comprehensive assessment for battery energy storage systems based on fuzzy-MCDM considering risk preferences. Energy, 168, 450-461.

339. Zhao, H., Zhao, H., & Guo, S. (2018). Comprehensive Performance Evaluation of Electricity Grid Corporations Employing a Novel MCDM Model. Sustainability, 10(7), 2130.

340. Zhou, J., Wu, Y., Wu, C., He, F., Zhang, B., & Liu, F. (2020). A geographical information system based multi-criteria decision-making approach for location analysis and evaluation of urban photovoltaic charging station: A case study in Beijing. Energy Conversion and Management, 205, 112340.

341. Žižović, M., Pamučar, D., Ćirović, G., Žižović, M. M., & Miljković, B. D. (2020). A Model for Determining Weight Coefficients by Forming a Non-Decreasing Series at Criteria Significance Levels (NDSL). Mathematics, 8(5), 745.

342. Zolfani, S. H., & Chatterjee, P. (2019). Comparative evaluation of sustainable design based on Step-wise Weight Assessment Ratio Analysis (SWARA) and best worst method (BWM) methods: a perspective on household furnishing materials. Symmetry, 11(1), 74.

343. Zolfani, S. H., Ecer, F., Pamučar, D., & Raslanas, S. (2020). Neighborhood selection for a newcomer via a novel BWM-based revised MAIRCA integrated model: a case from the Coquimbo-La Serena conurbation, Chile. International Journal of Strategic Property Management, 24(2), 102-118.

344. Zolfani, S. H., Mosharafiandehkordi, S., & Kutut, V. (2019). A pre-planning for hotel locating according to the sustainability perspective based on BWM-WASPAS approach. International Journal of Strategic Property Management, 23(6), 405-419.


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