Hybrid multiple criteria decision-making methods: A review of applications for sustainability issues

Economic Research-Ekonomska Istrazivanja

Volumn 29, Issue 1, 2016, Pages 857-887

  Zavadskas, Edmundas Kazimieras ^a   Govindan, Kannan ^b   Antucheviciene, Jurgita ^a   Turskis, Zenonas ^a  

^a VILNIUS GEDIMINAS TECHNICAL UNIVERSITY   (Lithuania)

^b UNIVERSITY OF SOUTHERN DENMARK   (Denmark)

Author keywords

Decision making; Hybrid MCDM HMCDM; Multiple criteria decision making (MCDM); Sustainability

Indexed keywords

DATABASE; DECISION MAKING; INFORMATION; MULTICRITERIA ANALYSIS; SUSTAINABILITY;

EID: 85026444493     PISSN: 1331677X     EISSN: None     Source Type: Journal    
DOI: 10.1080/1331677X.2016.1237302     Document Type: Review

References (219)

1. Aghdaie, M. H., Hashemkhani Zolfani, S., & Zavadskas, E. K. (2013). A hybrid approach for market segment evaluation and selection: An integration of data mining and MADM. Transformations in Business & Economics, 12, 431-458.
2. Aguezzoul, A. (2014). Third-party logistics selection problem: A literature review on criteria and methods. Omega - International Journal of Management Science, 49, 69-78.
3. Ahmadi, H., Nilashi, M., & Ibrahim, O. (2015). Organizational decision to adopt hospital information system: An empirical investigation in the case of Malaysian public hospitals. International Journal of Medical Informatics, 84, 166-188.
4. Alimardani, M., Hashemkhani Zolfani, S., Aghdaie, M. H., & Tamošaitienė, J. (2013). A novel hybrid SWARA and VIKOR methodology for supplier selection in an agile environment. Technological and Economic Development of Economy, 19, 533-548.
5. Amiri, M., Zandieh, M., Soltani, R., & Vahdani, B. (2009). A hybrid multi-criteria decision-making model for firms competence evaluation. Expert Systems with Applications, 36, 12314-12322.
6. Antucheviciene, J., Kala, Z., Marzouk, M., & Vaidogas, E. R. (2015). Solving civil engineering problems by means of fuzzy and stochastic MCDM methods: Current state and future research. Mathematical Problems in Engineering, 2015, Article ID 362579, 1-16.
7. Arrow, K. J. (1951). Social choice and individual values. New York, NY: Willey & Sons, Yale University Press.
8. Azadnia, A. H., Saman, M. Z. M., & Wong, K. Y. (2015). Sustainable supplier selection and order lotsizing: An integrated multi-objective decision-making process. International Journal of Production Research, 53, 383-408.
9. Balezentis, A., & Balezentis, T. (2011). An innovative multi-criteria supplier selection based on twotuple MULTIMOORA and hybrid data. Economic Computation and Economic Cybernetics Studies and Research, 45, 37-56.
10. Balin, A., Demirel, H., & Alarcin, F. (2015). A hierarchical structure for ship diesel engine troubleshooting problem using fuzzy AHP and fuzzy VIKOR hybrid methods. Brodogradnja, 66, 54-65.
11. Behzadian, M., Kazemzadeh, R. B., Albadvi, A., & Aghdasi, M. (2010). PROMETHEE: A comprehensive literature review on methodologies and applications. European Journal of Operational Research, 200, 198-215.
12. Bhattacharyya, S. C. (2012). Review of alternative methodologies for analysing off-grid electricity supply. Renewable & Sustainable Energy Reviews, 16, 677-694.
13. Bitarafan, M., Zolfani, S., Arefi, S. L., Zavadskas, E. K., & Mahmoudzadeh, A. (2014). Evaluation of real-time intelligent sensors for structural health monitoring of bridges based on SWARA-WASPAS; a case in Iran. The Baltic Journal of Road and Bridge Engineering, 9, 333-340.
14. Brauers, W. K. (2004). Optimization methods for a stakeholder society, a revolution in economic thinking by multi-objective optimization. London: Kluwer Academic.
15. Büyüközkan, G., & Çifçi, G. (2012). A novel hybrid MCDM approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy TOPSIS to evaluate green supplier. Expert Systems with Applications, 39, 3000-3011.
16. Büyüközkan, G., Arsenyan, J., & Ruan, D. (2012). Logistics tool selection with two-phase fuzzy multi criteria decision making: A case study for personal digital assistant selection. Expert Systems with Applications, 39, 142-153.
17. Celik, E., Gul, M., Aydin, N., Gumus, A. T., & Guneri, A. F. (2015). A comprehensive review of multi criteria decision making approaches based on interval type-2 fuzzy sets. Knowledge-Based Systems, 85, 329-341.
18. Chai, J., Liu, J. N. K., & Ngai, E. W. T. (2013). Application of decision-making techniques in supplier selection: A systematic review of literature. Expert Systems with Applications, 40, 3872-3885.
19. Chang, K.-L. (2015). A hybrid program projects selection model for nonprofit TV stations. Mathematical Problems in Engineering, 2015, Article ID 368212, 1-10.
20. Chen, F.-H. (2015). Application of a hybrid dynamic MCDM to explore the key factors for the internal control of procurement circulation. International Journal of Production Research, 53, 2951-2969.
21. Chen, J.-K., & Chen, I.-S. (2010). Aviatic innovation system construction using a hybrid fuzzy MCDM model. Expert Systems with Applications, 37, 8387-8394.
22. Chen, J.-K., & Chen, I.-S. (2015). The assessment of intellectual capital for the information and communication technology industry in Taiwan applying a hybrid MCDM model. European Journal of International Management, 9, 88-107.
23. Chen, F.-H., Hsu, T.-S., & Tzeng, G.-H. (2011). A balanced scorecard approach to establish a performance evaluation and relationship model for hot spring hotels based on a hybrid MCDM model combining DEMATEL and ANP. International Journal of Hospitality Management, 30, 908-932.
24. Chen, C.-R., Huang, C.-C., & Tsuei, H.-J. (2014). A hybrid MCDM model for improving GIS-based solar farms site selection. International Journal of Photoenergy, 2014, Article ID 925370, 1-9.
25. Chen, Y.-C., Lien, H.-P., & Tzeng, G.-H. (2010). Measures and evaluation for environment watershed plans using a novel hybrid MCDM model. Expert Systems with Applications, 37, 926-938.
26. Chen, T., & Sun, K.-S. (2012). Exploring the strategy to improve senior citizens’ participations on recreational sports. Knowledge-Based Systems, 26, 86-92.
27. Chen, C.-H., & Tzeng, G.-H. (2011). Creating the aspired intelligent assessment systems for teaching materials. Expert Systems with Applications, 38, 12168-12179.
28. Chen, W.-C., Wang, L.-Y., & Lin, M.-C. (2015). A hybrid MCDM model for new product development: Applied on the Taiwanese LiFePO4 industry. Mathematical Problems in Engineering, 2015, Article ID 462929, 1-15.
29. Chithambaranathan, P., Subramanian, N., Gunasekaran, A., & Palaniappan, P. L. K. (2015). Service supply chain environmental performance evaluation using grey based hybrid MCDM approach. International Journal of Production Economics, 166, 163-176.
30. Chou, W.-C., & Cheng, Y.-P. (2012). A hybrid fuzzy MCDM approach for evaluating website quality of professional accounting firms. Expert Systems with Applications, 39, 2783-2793.
31. Chuang, H.-M., Lin, C.-Y., & Chen, Y.-S. (2015). Exploring the triple reciprocity nature of organizational value cocreation behavior using multicriteria decision making analysis. Mathematical Problems in Engineering, 2015, Article ID 206312, 1-15.
32. Chuang, H.-M., Lin, C.-K., Chen, D.-R., & Chen, Y.-S. (2013). Evolving MCDM applications using hybrid expert-based ISM and DEMATEL models: An example of sustainable ecotourism. The Scientific World Journal, 2013, Article ID 751728, 1-18.
33. Chyu, C.-C., & Fang, Y.-C. (2014). A hybrid fuzzy analytic network process approach to the new product development selection problem. Mathematical Problems in Engineering, 2014, Article ID 485016, 1-13.
34. Cid-López, A., Hornos, M. J., Carrasco, R. A., & Herrera-Viedma, E. (2015). A hybrid model for decision-making in the information and communications technology sector. Technological and Economic Development of Economy, 21, 720-737.
35. Dağdeviren, M. (2010). A hybrid multi-criteria decision-making model for personnel selection in manufacturing systems. Journal of Intelligent Manufacturing, 21, 451-460.
36. Danzig, G. B. (1948). Linear programming in problems for the numerical analysis of the future. Proceedings of the Symposium on Modern Calculating Machinery and Numerical Methods, UCLA, July 29-31.
37. De Condorcet, M. (1785). Essay on the application of analysis to the probability of majority decisions. Paris: Bibliotheque National de France.
38. Debreu, G. (1959). Theory of value: An axiomatic analysis of economic equilibrium. New Haven and London: Yale University Press.
39. Durmusoglu, Z. D. U. (2014). A hybrid MCDM for private primary school assessment using DEMATEL based on ANP and fuzzy cognitive map. International Journal of Computational Intelligence Systems, 7, 615-635.
40. Ebrahimian, A., Ardeshir, A., Zahedi Rad, I. Z., & Ghodsypour, S. H. (2015). Urban stormwater construction method selection using a hybrid multi-criteria approach. Automation in Construction, 58, 118-128.
41. Ecer, F. (2015). Performance evaluation of internet banking branches via a hybrid MCDM model under fuzzy environment. Economic Computation and Economic Cybernetics Studies and Research, 49, 211-229.
42. Edgeworth, F. Y. (1881). Mathematical psychics: An essay on the application of mathematics to the moral sciences. London: Kegan Paul &.
43. Edwards, W. (1954). The theory of decision making. Psychological Bulletin, 41, 380-417.
44. Fetanat, A., & Khorasaninejad, E. (2015). A novel hybrid MCDM approach for offshore wind farm site selection: A case study of Iran. Ocean & Coastal Management, 109, 17-28.
45. Figueira, J., Greco, S., & Ehrgott, M. (Eds.). (2005). Multiple criteria decision analysis: State of the art survey. Boston, MA: Springer.
46. Fishburn, P. C. (1970). Utility theory for decision making. New York, NY: Publications in Operations Research, N18, Wiley & Sons,.
47. Fouladgar, M. M., Yazdani-Chamzini, A., Zavadskas, E. K., & Haji Moini, S. H. H. (2012). A new hybrid model for evaluating the working strategies: Case study of construction company. Technological and Economic Development of Economy, 18, 164-188.
48. Franklin, B. (1772). Letter to Joseph Priestley. New York, NY: Fawcett. Reprinted in the Benjamin Franklin Sampler, 1956.
49. Frisch, R. (1961). Numerical determination of a quadratic preference function for use in macroeconomic programming. Giornale degli Economisti e Annali di Economia, 20, 3-43.
50. Fu, G. L., Yang, C., & Tzeng, G. H. (2007). A multicriteria analysis on the strategies to open Taiwan’s mobile virtual network operators services. International Journal of Information Technology & Decision Making, 6, 85-112.
51. Gass, S., & Saaty, T. (1955). Parametric objective function, part II. Operations Research, 3, 316-319.
52. Gay, L. F., & Sinha, S. K. (2013). Resilience of civil infrastructure systems: Literature review for improved asset management. International Journal of Critical Infrastructures, 9, 330-350.
53. Ghassemi, S. A., & Danesh, S. (2013). A hybrid fuzzy multi-criteria decision making approach for desalination process selection. Desalination, 313, 44-50.
54. Govindan, K., Diabat, A., & Madan Shankar, K. M. (2015). Analyzing the drivers of green manufacturing with fuzzy approach. Journal of Cleaner Production, 96, 182-193.
55. Govindan, K., & Jepsen, M. B. (2016). ELECTRE: A comprehensive literature review on methodologies and applications. European Journal of Operational Research, 250(1), 1-29.
56. Govindan, K., Kannan, D., & Shankar, K. M. (2014). Evaluating the drivers of corporate social responsibility in the mining industry with multi-criteria approach: A multi-stakeholder perspective. Journal of Cleaner Production, 84, 214-232.
57. Govindan, K., Kannan, D., & Shankar, Madan (2015). Evaluation of green manufacturing practices using a hybrid MCDM model combining DANP with PROMETHEE. International Journal of Production Research, 53, 6344-6371.
58. Govindan, K., Rajendran, S., Sarkis, J., & Murugesan, P. (2015). Multi criteria decision making approaches for green supplier evaluation and selection: A literature review. Journal of Cleaner Production, 98, 66-83.
59. Guijarro, M., & Pajares, G. (2009). On combining classifiers through a fuzzy multicriteria decision making approach: Applied to natural textured images. Expert Systems with Applications, 36, 7262-7269.
60. Guo, X., Zhu, Z., & Shi, J. (2014). Integration of semi-fuzzy SVDD and CC-Rule method for supplier selection. Expert Systems with Applications, 41, 2083-2097.
61. Gürbüz, T., & Albayrak, Y. E. (2014). An engineering approach to human resources performance evaluation: Hybrid MCDM application with interactions. Applied Soft Computing, 21, 365-375.
62. Gürbüz, T., Albayrak, Y. E., & Alaybeyoğlu, E. (2014). Criteria weighting and 4p’s planning in marketing using a fuzzy metric distance and AHP hybrid method. International Journal of Computational Intelligence Systems, 7(Suppl. 1), 94-104.
63. Hacioglu, U., & Dincer, H. (2015). A comparative performance evaluation on bipolar risks in emerging capital markets using fuzzy AHP-TOPSIS and VIKOR approaches. Inzinerine Ekonomika-Engineering Economics, 26, 118-129.
64. Hashemkhani Zolfani, S., Aghdaie, M. H., Derakhti, A., Zavadskas, E. K., & Morshed Varzandeh, M.H. M. (2013a). Decision making on business issues with foresight perspective, an application of new hybrid MCDM model in shopping mall locating. Expert Systems with Applications, 40, 7111-7121.
65. Hashemkhani Zolfani, S., & Antucheviciene, J. (2012). Team member selecting based on AHP and TOPSIS grey. Inzinerine Ekonomika-Engineering Economics, 23, 425-434.
66. Hashemkhani Zolfani, S., Maknoon, R., & Zavadskas, E. K. (2015). Multiple nash equilibriums and evaluation of strategies. New application of MCDM methods. Journal of Business Economics and Management, 16, 290-306.
67. Hashemkhani Zolfani, S., Rezaeiniy, N., Aghdaie, M. H., & Zavadskas, E. K. (2012b). Quality control manager selection based on AHP, COPRAS-G methods: A case in Iran. Economic Research-Ekonomska Istraživanja, 25, 88-104.
68. Hashemkhani Zolfani, S., Rezaeiniya, N., Pourhossein, M., & Zavadskas, E. K. (2012c). Decision making on advertisement strategy selection based on life cycle of products by applying FAHP and TOPSIS grey: Growth stage perspective, a case about food industry in Iran. Inzinerine Ekonomika-Engineering Economics, 23, 471-484.
69. Hashemkhani Zolfani, S., Rezaeiniya, N., Zavadskas, E. K., & Turskis, Z. (2011). Forest roads locating based on AHP and COPRAS-G methods: An empirical study based on Iran. E&M Ekonomie a Management, 14, 6-21.
70. Herrera-Viedma, E. (2015). Fuzzy sets and fuzzy logic in multi-criteria decision making. The 50th anniversary of Prof. Lotfi Zadeh’s theory: Introduction. Technological and Economic Development of Economy, 21, 677-683.
71. Ho, W., Xu, X., & Dey, P. K. (2010). Multi-criteria decision making approaches for supplier evaluation and selection: A literature review. European Journal of Operational Research, 202, 16-24.
72. Hsu, W. (2015). A fuzzy multiple-criteria decision-making system for analyzing gaps of service quality. International Journal of Fuzzy Systems, 17, 256-267.
73. Hsu, C.-W., Kuo, T.-C., Shyu, G.-S., & Chen, P.-S. (2014). Low carbon supplier selection in the hotel industry. Sustainability, 6, 2658-2684.
74. Hsu, C.-C., Liou, J. J. H., & Chuang, Y.-C. (2013). Integrating DANP and modified grey relation theory for the selection of an outsourcing provider. Expert Systems with Applications, 40, 2297-2304.
75. Hsu, C. H., Wang, F.-K., & Tzeng, G.-H. (2012). The best vendor selection for conducting the recycled material based on a hybrid MCDM model combining DANP with VIKOR. Resources Conservation and Recycling, 66, 95-111.
76. Hu, S.-K., Lu, M.-T., & Tzeng, G.-H. (2014). Exploring smart phone improvements based on a hybrid MCDM model. Expert Systems with Applications, 41, 4401-4413.
77. Hung, Y.-H., Huang, T.-L., Hsieh, J.-C., Tsuei, H. J., Cheng, C. C., & Tzeng, G. H. (2012). Online reputation management for improving marketing by using a hybrid MCDM model. Knowledge-Based Systems, 35, 87-93.
78. Hwang, C.-L., & Masud, A. S. M. (1979). Multiple objective decision making - methods and application. A State-of-the-Art Survey. Berlin: Springer.
79. Hwang, C. L., & Yoon, K. (1981). Multiple attributes decision making methods and applications. Berlin, Hedelberg: Springer.
80. Ibáñez-Forés, V., Bovea, M. D., & Pérez-Belis, V. (2014). A holistic review of applied methodologies for assessing and selecting the optimal technological alternative from a sustainability perspective. Journal of Cleaner Production, 70, 259-281.
81. Ignatius, J., Motlagh, S. M. H., Sepehri, M. M., Behzadian, M., & Mustafa, A. (2010). Hybrid models in decision making under uncertainty: The case of training provider evaluation. Journal of Intelligent & Fuzzy Systems, 21, 147-162.
82. Ilangkumaran, M., Karthikeyan, M., Ramachandran, T., Boopathiraja, M., & Kirubakaran, B. (2015). Risk analysis and warning rate of hot environment for foundry industry using hybrid MCDM technique. Safety Science, 72, 133-143.
83. Ingwersen, W., Cabezas, H., Weisbrod, A. V., Eason, T., Demeke, B., Ma, X.(C.), … Ceja, M. (2014). Integrated metrics for improving the life cycle approach to assessing product system sustainability. Sustainability, 6, 1386-1413.
84. Jato-Espino, D., Castillo-Lopez, E., Rodriguez-Hernandez, J., & Canteras-Jordana, J. C. (2014). A review of application of multi-criteria decision making methods in construction. Automation in Construction, 45, 151-162.
85. Jeng, D. J.-F., & Bailey, T. (2012). Assessing customer retention strategies in mobile telecommunications: Hybrid MCDM approach. Management Decision, 50, 1570-1595.
86. Jeng, D. J.-F., & Huang, K.-H. (2015). Strategic project portfolio selection for national research institutes. Journal of Business Research, 68, 2305-2311.
87. Kabak, M. (2013). A Fuzzy DEMATEL-ANP based multi criteria decision making approach for personnel selection. Multiple-Valued Logic and Soft Computing, 20, 571-593.
88. Kabak, M., & Dağdeviren, M. (2014a). A hybrid MCDM approach to assess the sustainability of students’ preferences for university selection. Technological and Economic Development of Economy, 20, 391-418.
89. Kabak, M., & Dağdeviren, M. (2014b). Prioritization of renewable energy sources for Turkey by using a hybrid MCDM methodology. Energy Conversion and Management, 79, 25-33.
90. Kabak, M., Köse, E., Kirilmaz, O., & Burmaoğlu, S. (2014). A fuzzy multi-criteria decision making approach to assess building energy performance. Energy and Buildings, 72, 382-389.
91. Kabir, G., Sadiq, R., & Tesfamariam, S. (2014). A review of multi-criteria decision-making methods for infrastructure management. Structure and infrastructure engineering: Maintenance, management. Life-Cycle Design and Performance, 10, 1176-1210.
92. Kannan, D., Govindan, K., & Rajendran, S. (2015). Fuzzy axiomatic design approach based green supplier selection: A case study from Singapore. Journal of Cleaner Production, 96, 194-208.
93. Kantorovich, L. (1960). Mathematical methods of organizing and planning production. Management Science, 6, 363-422.
94. Kasirian, M. N., & Yusuff, R. M. (2013). An integration of a hybrid modified TOPSIS with a PGP model for the supplier selection with interdependent criteria. International Journal of Production Research, 51, 1037-1054.
95. Keršulienė, V., & Turskis, Z. (2014). A hybrid linguistic fuzzy multiple criteria group selection of a chief accounting officer. Journal of Business Economics and Management, 15, 232-252.
96. Khalili Esbouei, S., Safaei Ghadikolaei, A., & Antucheviciene, J. (2014). Using FANP and fuzzy VIKOR for ranking manufacturing companies based on their financial performance. Economic Computation and Economic Cybernetics Studies and Research, 48, 141-162.
97. Köksalan, M., Wallenius, J., & Zionts, S. (2011). Multiple criteria decision making to the 21st century. Singapore: World Scientific.
98. Koopmans, T. C. (1951). Analysis of production as an efficient combination of activities. In T. C. Koopmans (Ed.), Activity analysis of production and allocation (pp. 404). Heidelberg: Physica Verlog.
99. Kuo, M.-S. (2011). Optimal location selection for an international distribution center by using a new hybrid method. Expert Systems with Applications, 38, 7208-7221.
100. Kuo, T. C., Hsu, C. W., & Li, J. Y. (2015). Developing a green supplier selection model by using the DANP with VIKOR. Sustainability, 7, 1661-1689.
101. Kuo, M.-S., & Liang, G.-S. (2011). A novel hybrid decision-making model for selecting locations in a fuzzy environment. Mathematical and Computer Modelling, 54, 88-104.
102. Lashgari, A., Yazdani-Chamzini, A., Fouladgar, M. M., Zavadskas, E. K., Shafiee, S., & Abbate, N. (2012). Equipment selection using fuzzy multi criteria decision making model: Key study of Gole Gohar iron mine. Inzinerine Ekonomika-Engineering Economics, 23, 125-136.
103. Lee, W.-S. (2014). A new hybrid MCDM model combining DANP with VIKOR for the selection of location - real estate brokerage services. International Journal of Information Technology & Decision Making, 13, 197-224.
104. Lee, S. K., Mogi, G., & Hui, K. S. (2013). A fuzzy analytic hierarchy process (AHP)/data envelopment analysis (DEA) hybrid model for efficiently allocating energy R&D resources: In the case of energy technologies against high oil prices. Renewable & Sustainable Energy Reviews, 21, 347-355.
105. Lee, B. G., Seo, H., Om, S. Y., Oh, J., & Seol, J. (2012). Developing a strategic framework for the WiBro service in the global market. Multimedia Tools and Applications, 61, 131-144.
106. Liao, S., Wu, M.-J., Huang, Ch. -Y, Kao, Y.-S., & Lee, T.-H. (2014). Evaluating and enhancing threedimensional printing service providers for rapid prototyping using the DEMATEL based network process and VIKOR. Mathematical Problems in Engineering, 2014, Article ID 349348, 1-16.
107. Lin, C.-L. (2015). A novel hybrid decision-making model for determining product position under consideration of dependence and feedback. Applied Mathematical Modelling, 39, 2194-2216.
108. Lin, C.-L., Hsieh, M.-S., & Tzeng, G.-H. (2010a). Evaluating vehicle telematics system by using a novel MCDM technique with dependence and feedback. Expert Systems with Applications, 37, 6723-6736.
109. Lin, Y.-T., Lin, C.-L., Yu, H.-C., & Tzeng, G. H. (2010b). A novel hybrid MCDM approach for outsourcing vendor selection: A case study for a semiconductor company in Taiwan. Expert Systems with Applications, 37, 4796-4804.
110. Lin, S.-J., Wang, C.-S., & Hsu, M.-F. (2014). Selection of multiple combination strategies for risk assessment. Cybernetics and Systems, 45, 622-634.
111. Liou, J. J. H. (2013). New concepts and trends of MCDM for tomorrow - in honor of Professor Gwo-Hshiung Tzeng on the occasion of his 70th birthday. Technological and Economic Development of Economy, 19, 367-375.
112. Liou, J. J. H., Chuang, Y. C., & Tzeng, G. H. (2014b). A fuzzy integral-based model for supplier evaluation and improvement. Information Sciences, 266, 199-217.
113. Liou, J. J. H., Hsu, C.-C., & Chen, Y.-S. (2014a). Improving transportation service quality based on information fusion. Transportation Research Part A: Policy and Practice, 67, 225-239.
114. Liou, J. J. H., & Tzeng, G.-H. (2012). Comments on “Multiple criteria decision making (MCDM) methods in economics: An overview”. Technological and Economic Development of Economy, 18, 672-695.
115. Liou, J. J. H., Wang, H. S., Hsu, C. C., & Yin, S. L. (2011). A hybrid model for selection of an outsourcing provider. Applied Mathematical Modelling, 35, 5121-5133.
116. Liu, C.-H., Tzeng, G.-H., & Lee, M.-H. (2012). Improving tourism policy implementation - The use of hybrid MCDM models. Tourism Management, 33, 413-426.
117. Liu, H.-C., You, J.-X., Lu, C., & Chen, Y.-Z. (2015a). Evaluating health-care waste treatment technologies using a hybrid multi-criteria decision making model. Renewable & Sustainable Energy Reviews, 41, 932-942.
118. Liu, H.-C., You, J.-X., You, X.-Y., & Shan, M.-M. (2015b). A novel approach for failure mode and effects analysis using combination weighting and fuzzy VIKOR method. Applied Soft Computing, 28, 579-588.
119. Liu, H.-C., You, J.-X., Zhen, L., & Fan, X.-J. (2014). A novel hybrid multiple criteria decision making model for material selection with target-based criteria. Materials & Design, 60, 380-390.
120. Lu, M.-T., Hu, S.-K., Huang, L.-H., & Tzeng, G.-H. (2015a). Evaluating the implementation of business-to-business m-commerce by SMEs based on a new hybrid MADM model. Management Decision, 53, 290-317.
121. Lu, M.-T., Lin, S.-W., & Tzeng, G.-H. (2013a). Improving RFID adoption in Taiwan’s healthcare industry based on a DEMATEL technique with a hybrid MCDM model. Decision Support Systems, 56, 259-269.
122. Lu, M.-T., Tzeng, G.-H., Cheng, H., & Hsu, C.-C. (2015b). Exploring mobile banking services for user behavior in intention adoption: Using new hybrid MADM model. Service Business, 9, 541-565.
123. Lu, M.-T., Tzeng, G.-H., & Tang, L.-L. (2013b). Environmental strategic orientations for improving green innovation performance in fuzzy environment - using new fuzzy hybrid MCDM model. International Journal of Fuzzy Systems, 15, 297-316.
124. Luce, R. D., & Raiffa, H. (1957). Games and decisions: Introduction and critical survey. New York, NY: Wiley & Sons.
125. Mardani, A., Jusoh, A., MD Nor, K. M. D., Khalifah, Z., Zakwan, N., & Valipour, A. (2015). Multiple criteria decision-making techniques and their applications - A review of the literature from 2000 to 2014. Economic Research-Ekonomska Istraživanja, 28, 516-571.
126. Mardani, A., Jusoh, A., & Zavadskas, E. K. (2015). Fuzzy multiple criteria decision-making techniques and applications - Two decades review from 1994 to 2014. Expert Systems with Applications, 42, 4126-4148.
127. Mardani, A., Jusoh, A., Zavadskas, E. K., Cavallaro, F., & Khalifah, Z. (2015). Sustainable and renewable energy: An overview of the application of multiple criteria decision making techniques and approaches. Sustainability, 7, 13947-13984.
128. Mesghouni, K., Pesin, P., Trentesaux, D., Hammadi, S., Tahon, C., & Borne, P. (1999). Hybrid approach to decision-making for job-shop scheduling. Production Planning & Control, 10, 690-706.
129. Nash, J. (1950). Equilibrium points in n person games. Proceedings of the National Academy of Sciences, 36, 48-49.
130. Nguyen, H.-T., Dawal, S. Z. M., Nukman, Y., & Aoyama, H. (2014). A hybrid approach for fuzzy multi-attribute decision making in machine tool selection with consideration of the interactions of attributes. Expert Systems with Applications, 41, 3078-3090.
131. Nguyen, H.-T., Dawal, S. Z. Md., Nukman, Y., Aoyama, H., Case, K. (2015). An integrated approach of fuzzy linguistic preference based AHP and fuzzy COPRAS for machine tool evaluation. PLoS ONE, 10 e0133599, 1-24.
132. Nilashi, M., Zakaria, R., Ibrahim, O., Majid, M. Z., Zin, R. M., & Farahmand, M. (2015). MCPCM: A DEMATEL-ANP-based multi-criteria decision-making approach to evaluate the critical success factors in construction projects. Arabian Journal for Science and Engineering, 40, 343-361.
133. Önut, S., Kara, S. S., & Efendigil, T. (2008). A hybrid fuzzy MCDM approach to machine tool selection. Journal of Intelligent Manufacturing, 19, 443-453.
134. Ozdemir, U., & Guneroglu, A. (2015). Strategic approach model for investigating the cause of maritime accidents. PROMET - Trafic&Transportation, 27, 113-123.
135. Pareto, V. (1896). Cours E-economic. Rouge: Univerite de Lausanne.
136. Peng, K.-H., & Tzeng, G.-H. (2013). A hybrid dynamic MADM model for problem-improvement in economics and business. Technological and Economic Development of Economy, 19, 638-660.
137. Perera, A. T. D., Attalage, R. A., Perera, K. K. C. K., & Dassanayake, V. P. C. (2013). A hybrid tool to combine multi-objective optimization and multi-criterion decision making in designing standalone hybrid energy systems. Applied Energy, 107, 412-425.
138. Pourahmad, A., Hosseini, A., Banaitis, A., Nasiri, H., Banaitienė, N., & Tzeng, G. H. (2015). Combination of fuzzy-AHP and DEMATEL-ANP with GIS in a new hybrid MCDM model used for the selection of the best space for leisure in a blighted urban site. Technological and Economic Development of Economy, 21, 773-796.
139. Rabbani, A., Zamani, M., Yazdani-Chamzini, A., & Zavadskas, E. K. (2014). Proposing a new integrated model based on sustainability balanced scorecard (SBSC) and MCDM approaches by using linguistic variables for the performance evaluation of oil producing companies. Expert Systems with Applications, 41, 7316-7327.
140. Ramsey, F. P. (1931). Truth and probability. In R. B. Braithwaite (Ed.), The foundations of mathematics and other logical essays (pp. 156-198). London: Routledge and Kegan.
141. Rezaeiniya, N., Zolfani, S., & Zavadskas, E. K. (2012). Greenhouse locating based on ANP-COPRAS-G methods - an empirical study based on Iran. International Journal of Strategic Property Management, 16, 188-200.
142. Ribeiro, R. A., Moreira, A. M., van den Broek, P., & Pimentel, A. (2011). Hybrid assessment method for software engineering decisions. Decision Support Systems, 51, 208-219.
143. Rostamzadeh, R., Govindan, K., Esmaeili, A., & Sabaghi, M. (2015). Application of fuzzy VIKOR for evaluation of green supply chain management practices. Ecological Indicators, 49, 188-203.
144. Rostamzadeh, R., Ismail, K., & Bodaghi Khajeh Noubar, H. B. K. (2014). An application of a hybrid MCDM method for the evaluation of entrepreneurial intensity among the SMEs: A case study. The Scientific World Journal, 2014, Article ID 703650, 1-16.
145. Rostamzadeh, R., Sabaghi, M., Sofian, S., & Ismail, Z. (2015). Hybrid GA for material routing optimization in supply chain. Applied Soft Computing, 26, 107-122.
146. Rouyendegh, B. D. (2015). Developing an integrated ANP and intuitionistic fuzzy TOPSIS model for supplier selection. Journal of Testing and Evaluation, 43(3), 1-9.
147. Roy, B. (1968). La methode ELECTRE [ELECTRE method]. Revue d’Informatique et. de Recherche Operationelle (RIRO), 8, 57-75.
148. Roy, B. (1996). Multicriteria methodology for decision aiding. Berlin, Heidelberg: Springer Science & Business Media.
149. Roya, M. A., & Niaki, S. T. A. (2014). A hybrid approach based on locally linear neuro-fuzzy modeling and TOPSIS to determine the quality grade of gas well-drilling projects. Journal of Petroleum Science and Engineering, 114, 99-106.
150. Saaty, T. L. (1996). Decision making with dependence and feedback. The Analytic Network Process. Pitsburg: RWS Publications.
151. Saaty, T. L., & Ergu, D. (2015). When is a decision-making method trustworthy? criteria for evaluating multi-criteria decision-making methods. International Journal of Information Technology & Decision Making, 14, 1171-1187.
152. Safaei Ghadikolaei, A., Khalili Esbouei, S., & Antucheviciene, J. (2014). Applying fuzzy MCDM for financial performance evaluation of Iranian companies. Technological and Economic Development of Economy, 20, 274-291.
153. Sakthivel, G., Ilangkumaran, M., Nagarajan, G., & Shanmugam, P. (2013). Selection of best biodiesel blend for IC engines: An integrated approach with FAHP-TOPSIS and FAHP-VIKOR. International Journal of Oil Gas and Coal Technology, 6, 581-612.
154. Samuelson, P. A. (1938). A note on the pure theory of consumer’s behaviour. Economica, 5, 61-71.
155. Sen, A. (1970). Collective choice and social welfare. San Francisco: Holden Day.
156. Shen, Y.-C., Lin, G. T. R., & Tzeng, G.-H. (2011). Combined DEMATEL techniques with novel MCDM for the organic light emitting diode technology selection. Expert Systems with Applications, 38, 1468-1481.
157. Shen, K.-Y., & Tzeng, G.,-H. (2015a). A decision rule-based soft computing model for supporting financial performance improvement of the banking industry. Soft Computing, 19, 859-874.
158. Shen, K.-Y., & Tzeng, G.-H. (2015b). A new approach and insightful financial diagnoses for the IT industry based on a hybrid MADM model. Knowledge-Based Systems, 85, 112-130.
159. Shyur, H.-J., & Shih, H.-S. (2006). A hybrid MCDM model for strategic vendor selection. Mathematical and Computer Modelling, 44, 749-761.
160. Simon, H. A. (1955). A behavioral model of rational choice. The Quarterly Journal of Economics, 69, 99-118.
161. Su, Z.-X. (2011). A hybrid fuzzy approach to fuzzy multi-attribute group decision-making. International Journal of Information Technology & Decision Making, 10, 695-711.
162. Suganthi, L., Iniyan, S., & Samuel, A. A. (2015). Applications of fuzzy logic in renewable energy systems - A review. Renewable & Sustainable Energy Reviews, 48, 585-607.
163. Tadić, S., Zečević, S., & Krstić, M. (2014). A novel hybrid MCDM model based on fuzzy DEMATEL, fuzzy ANP and fuzzy VIKOR for city logistics concept selection. Expert Systems with Applications, 41, 8112-8128.
164. Tavana, M., Khalili-Damghani, K., & Abtahi, A.-R. (2013a). A hybrid fuzzy group decision support framework for advanced-technology prioritization at NASA. Expert Systems with Applications, 40, 480-491.
165. Tavana, M., Khalili-Damghani, K., & Rahmatian, R. (2015). A hybrid fuzzy MCDM method for measuring the performance of publicly held pharmaceutical companies. Annals of Operations Research, 226, 589-621.
166. Tavana, M., Momeni, E., Rezaeiniya, N., Mirhedayatian, S. M., & Rezaeiniya, H. (2013b). A novel hybrid social media platform selection model using fuzzy ANP and COPRAS-G. Expert Systems with Applications, 40, 5694-5702.
167. Tavana, M., Zandi, F., & Katehakis, M. N. (2013c). A hybrid fuzzy group ANP-TOPSIS framework for assessment of e-government readiness from a CiRM perspective. Information & Management, 50, 383-397.
168. Triantaphyllou, E. (2010). Multi-criteria decision making methods: A comparative study. Dordrecht, the Netherlands: Springer Science & Business Media.
169. Tsai, W.-H., Chou, Y.-W., Lee, K.-C., Lin, W.-R., & Hwang, E. T. Y. (2013). Combining decision making trial and evaluation laboratory with analytic network process to perform an investigation of information technology auditing and risk control in an enterprise resource planning environment. Systems Research and Behavioral Science, 30, 176-193.
170. Tsai, W.-H., Chou, W.-C., & Leu, J.-D. (2011). An effectiveness evaluation model for the web-based marketing of the airline industry. Expert Systems with Applications, 38, 15499-15516.
171. Tsai, W.-H., & Hsu, W. (2010). A novel hybrid model based on DEMATEL and ANP for selecting cost of quality model development. Total Quality Management & Business Excellence, 21, 439-456.
172. Tsai, W.-H., Hsu, J.-L., Chen, C.-H., Lin, W. R., & Chen, S. P. (2010b). An integrated approach for selecting corporate social responsibility programs and costs evaluation in the international tourist hotel. International Journal of Hospitality Management, 29, 385-396.
173. Tsai, W.-H., & Kuo, H.-C. (2011). Entrepreneurship policy evaluation and decision analysis for SMEs. Expert Systems with Applications, 38, 8343-8351.
174. Tsai, W.-H., Lee, P.-L., Shen, Y.-S., & Hwang, E. T. Y. (2014). A combined evaluation model for encouraging entrepreneurship policies. Annals of Operations Research, 221, 449-468.
175. Tsai, W. H., Leu, J. D., Liu, J. Y., Lin, S. J., & Shaw, M. J. (2010a). A MCDM approach for sourcing strategy mix decision in IT projects. Expert Systems with Applications, 37, 3870-3886.
176. Tseng, M.-L. (2011a). Using a hybrid MCDM model to evaluate firm environmental knowledge management in uncertainty. Applied Soft Computing, 11, 1340-1352.
177. Tseng, M.-L. (2011b). Using hybrid MCDM to evaluate the service quality expectation in linguistic preference. Applied Soft Computing, 11, 4551-4562.
178. Tsui, C.-W., Tzeng, G.-H., & Wen, U.-P. (2015). A hybrid MCDM approach for improving the performance of green suppliers in the TFT-LCD industry. International Journal of Production Research, 53, 6436-6454.
179. Tzeng, G.-H., Chiang, C.-H., & Li, C.-W. (2007). Evaluating intertwined effects in e-learning programs: A novel hybrid MCDM model based on factor analysis and DEMATEL. Expert Systems with Applications, 32, 1028-1044.
180. Tzeng, G.-H., & Huang, J.-J. (2011). Multiple attribute decision making: Methods and applications. Boca Raton, FL, USA: Chapman and Hall/CRC Press.
181. Tzeng, G.-H., & Huang, C.-Y. (2012). Combined DEMATEL technique with hybrid MCDM methods for creating the aspired intelligent global manufacturing & logistics systems. Annals of Operations Research, 197, 159-190.
182. Tzeng, G.-H., & Huang, J.-J. (2013). Fuzzy multiple objective decision making. Boca Raton, FL, USA: Chapman and Hall/CRC Press.
183. Uygun, Özer, Kaçamak, H., & Kahraman, Ünal Atakan (2015a). An integrated DEMATEL and Fuzzy ANP techniques for evaluation and selection of outsourcing provider for a telecommunication company. Computers & Industrial Engineering, 86, 137-146.
184. Uygun, Özer, Canvar Kahveci, T. C., Taşkin, H., & Piriştine, B. (2015b). Readiness assessment model for institutionalization of SMEs using fuzzy hybrid MCDM techniques. Computers & Industrial Engineering, 88, 217-228.
185. Vafaeipour, M., Hashemkhani Zolfani, S., Morshed Varzandeh, M. H. M., Derakhti, A., & Keshavarz Eshkalag, M. K. (2014). Assessment of regions priority for implementation of solar projects in Iran: New application of a hybrid multi-criteria decision making approach. Energy Conversion and Management, 86, 653-663.
186. Valipour, A., Yahaya, N., Md Noor, N., Kildienė, S., Sarvari, H., & Mardani, A. (2015). A fuzzy analytic network process method for risk prioritization in freeway PPP projects: An Iranian case study. Journal of Civil Engineering and Management, 21, 933-947.
187. Vinodh, S., Prasanna, M., & Hari Prakash, N. (2014). Integrated Fuzzy AHP-TOPSIS for selecting the best plastic recycling method: A case study. Applied Mathematical Modelling, 38, 4662-4672.
188. Von Neumann, J., & Morgenstern, O. (1944). Theory of games and economic behaviour. Princeton, NJ: Princeton University Press.
189. Wang, T.-C. (2012). The interactive trade decision-making research: An application case of novel hybrid MCDM model. Economic Modelling, 29, 926-935.
190. Wang, F.-K., Hsu, C.-H., & Tzeng, G.-H. (2014). Applying a hybrid MCDM model for six sigma project selection. Mathematical Problems in Engineering, 2014, Article ID 730934, 1-13.
191. Wang, W.-M., Lee, A. H. I., Peng, L.-P., & Wu, Z.-L. (2013). An integrated decision making model for district revitalization and regeneration project selection. Decision Support Systems, 54, 1092-1103.
192. Wang, Y.-L., & Tzeng, G.-H. (2012). Brand marketing for creating brand value based on a MCDM model combining DEMATEL with ANP and VIKOR methods. Expert Systems with Applications, 39, 5600-5615.
193. Wang, C.-S., Yang, H.-L., & Lin, S.-L. (2015). To make good decision: A group DSS for multiple criteria alternative rank and selection. Mathematical Problems in Engineering, 2015, Article ID 186970, 1-15.
194. Wiecek, M. M., Matthiasehrgott, M., Fadel, G., & Ruifigueira, J. R. (2008). Multiple criteria decision making for engineering. Omega - International Journal of Management Science, 36, 337-339.
195. Wu, H.-Y., Chen, J.-K., Chen, I.-S., & Zhuo, H. H. (2012). Ranking universities based on performance evaluation by a hybrid MCDM model. Measurement, 45, 856-880.
196. Wu, C. M., Hsieh, C. L., & Chang, K. L. (2013). A hybrid multiple criteria decision making model for supplier selection. Mathematical Problems in Engineering, 2013, Article ID 324283, 1-8.
197. Wu, K.-J., Liao, C.-J., Tseng, M.-L., & Chiu, A. S. F. (2015). Exploring decisive factors in green supply chain practices under uncertainty. International Journal of Production Economics, 159, 147-157.
198. Wu, H.-Y., Lin, Y.-K., & Chang, C.-H. (2011). Performance evaluation of extension education centers in universities based on the balanced scorecard. Evaluation and Program Planning, 34, 37-50.
199. Yager, R. R. (2015). Foreword. special issue on fuzzy sets and applications (celebration of the 50th anniversary of fuzzy sets). International Journal of Computers ommunications & Control, 10, 771-771.
200. Yang, J., & Tzeng, G. (2011). An integrated MCDM technique combined with DEMATEL for a novel cluster-weighted with ANP method. Expert Systems with Applications, 38, 1417-1424.
201. Yang, C.-L., Yuan, B. J. C., & Huang, C.-Y. (2015). Key determinant derivations for information technology disaster recovery site selection by the multi-criterion decision making method. Sustainability, 7, 6149-6188.
202. Yazdani-Chamzini, A., Shariati, S., Yakhchali, S. H., & Zavadskas, E. K. (2014). Proposing a new methodology for prioritising the investment strategies in the private sector of Iran. Inzinerine Ekonomika-Engineering Economics, 27, 320-345.
203. Yeh, T.-M., Pai, F.-Y., & Liao, C.-W. (2014). Using a hybrid MCDM methodology to identify critical factors in new product development. Neural Computing & Applications, 24, 957-971.
204. Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8, 338-353.
205. Zare, M., Pahl, C., Rahnama, H., Nilashi, M., Mardani, A., Ibrahim, O., & Ahmadi, H. (2016). Multicriteria decision making approach in E-learning: A systematic review and classification. Applied Soft Computing, 45, 108-128.
206. Zavadskas, E. K., Liias, R., & Turskis, Z. (2008). Multi-attribute decision-making methods for assessment of quality in bridges and road construction: State-of-the-art surveys. The Baltic Journal of Road and Bridge Engineering, 3, 152-160.
207. Zavadskas, E., Peldschus, F., & Kaklauskas, A. (1994). Multiple criteria evaluation of projects in construction. Vilnius: Technika.
208. Zavadskas, E. K., & Turskis, Z. (2011). Multiple criteria decision making (MCDM) methods in economics: An overview. Technological and Economic Development of Economy, 17, 397-427.
209. Zavadskas, E. K., Turskis, Z., & Kildienė, S. (2014). State of art surveys of overviews on MCDM/ MADM methods. Technological and Economic Development of Economy, 20, 165-179.
210. Zavadskas, E. K., Turskis, Z., Volvačiovas, R., & Kildienė, S. (2013). Multi-criteria assessment model of technologies. Studies in Informatics and Control, 22, 249-258.
211. Zelany, M. (1974). A concept of compromise solution and the method of displaced ideal. Computers and Operations Research, 1, 479-496.
212. Zeleny, M. (1975). MCDM - state and future of arts. Operations Research, 23(Suppl. 2), B413-B413.
213. Zeleny, M. (1982). Multiple criteria decision making. New York, NY: McGraw-Hill.
214. Zhao, H., & Guo, S. (2014). Selecting green supplier of thermal power equipment by using a hybrid MCDM method for sustainability. Sustainability, 6, 217-235.
215. Zhao, H., & Guo, S. (2015). External benefit evaluation of renewable energy power in China for sustainability. Sustainability, 7, 4783-4805.
216. Zionts, S. (1979). MCDM - if not a Roman numeral, then what. Interfaces, 9, 94-101.
217. Zolfani, S., Chen, I.-S., Rezaeiniya, N., & Tamošaitienė, J. (2012a). A hybrid MCDM model encompassing AHP and COPRAS-G methods for selecting company supplier in Iran. Technological and Economic Development of Economy, 18, 529-543.
218. Zolfani, S., Esfahani, M. H., Bitarafan, M., Zavadskas, E. K., & Arefi, S. L. (2013b). Developing a new hybrid MCDM method for selection of the optimal alternative of mechanical longitudinal ventilation of tunnel pollutants during automobile accidents. Transport, 28, 89-96.
219. Zopounidis, C., & Pardalos, P. M. (Eds.). (2010). Handbook of multicriteria analysis. Berlin, Heidelberg: Springer-Verlag.