ELECTRE I-based group decision methodology with risk preferences in an imprecise setting for flexible manufacturing systems
Subject Areas : Environmental ManagementSeyed Meysam Mousavi 1 , Hosein Gitinavard 2 , Behnam Vahdani 3
1 - Department of Industrial Engineering, Faculty of Engineering, Shahed University, Tehran, Iran
2 - Young Researchers and Elite Club, South Tehran Branch, Islamic Azad University, Tehran, Iran
3 - Department of Industrial Engineering and Mechanical Engineering, Islamic Azad University-Qazvin branch, Qazvin, Iran
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Abstract :
Atanassov, K. T. (1989). More on intuitionistic fuzzy sets. Fuzzy sets and Systems, 33(1), 37-45.
Atanassov, K. T. (2000). Two theorems for intuitionistic fuzzy sets. Fuzzy sets and Systems, 110(2), 267-269.
Bisdorff, R. (2000). Logical foundation of fuzzy preferential systems with application to the electre decision aid methods. Computers & Operations Research, 27(7), 673-687.
Bojković, N., Anić, I., & Pejčić-Tarle, S. (2010). One solution for cross-country transport-sustainability evaluation using a modified ELECTRE method. Ecological Economics, 69(5), 1176-1186.
Celik, E., Gumus, A. T., & Erdogan, M. (2016). A New Extension of the ELECTRE Method Based Upon Interval Type-2 Fuzzy Sets for Green Logistic Service Providers Evaluation. Evaluation, 44(5), 1-15.
Chen, C.-T., & Hung, W.-Z. (2009). Applying ELECTRE and maximizing deviation method for stock portfolio selection under fuzzy environment Opportunities and Challenges for Next-Generation Applied Intelligence, (pp. 85-91): Springer.
Chen, N., Xu, Z., & Xia, M. (2013). The ELECTRE I multi-criteria decision making method based on hesitant fuzzy sets. International Journal of Information Technology & Decision Making, 14(03), 621-657.
Chen, S.-J. J., Hwang, C.-L., Beckmann, M. J., & Krelle, W. (1992). Fuzzy multiple attribute decision making: methods and applications: Springer-Verlag New York, Inc.
Chen, T.-Y. (2014). An ELECTRE-based outranking method for multiple criteria group decision making using interval type-2 fuzzy sets. Information Sciences, 263, 1-21.
Devi, K., & Yadav, S. P. (2013). A multicriteria intuitionistic fuzzy group decision making for plant location selection with ELECTRE method. The International Journal of Advanced Manufacturing Technology, 66(9-12), 1219-1229.
Ebrahimnejad, S., Mousavi, S.M., Tavakkoli-Moghaddam, R., Hashemi, H., & Vahdani, B. (2012). A novel two-phase group decision making approach for construction project selection in a fuzzy environment. Applied Mathematical Modelling, 36(9), 4197-4217.
Foroozesh, N., Tavakkoli-Moghaddam, R., Mousavi, S. M., & Vahdani, B., (2017a). Dispatching rule evaluation in flexible manufacturing systems by a new fuzzy decision model with possibilistic-statistical uncertainties, Arabian Journal for Science and Engineering, 42, 2947–2960.
Foroozesh, N., Gitinavard, H., Mousavi, S.M., & Vahdani, B., (2017b). A hesitant fuzzy extension of VIKOR method for evaluation and selection problems under uncertainty, International Journal of Applied Management Science, 9(2), 95-113.
Gitinavard, H., Mousavi, S. M., & Vahdani, B. (2016). A new multi-criteria weighting and ranking model for group decision-making analysis based on interval-valued hesitant fuzzy sets to selection problems. Neural Computing and Applications, 27(6), 1593-1605.
Gitinavard, H., Mousavi, S. M., & Vahdani, B. (2017a). Soft computing-based new interval-valued hesitant fuzzy multi-criteria group assessment method with last aggregation to industrial decision problems. Soft Computing, 21(12), 3247-3265.
Gitinavard, H., Mousavi, S.M., & Vahdani, B., (2017b). Soft computing based on hierarchical evaluation approach and criteria interdependencies for energy decision-making problems: A case study, Energy, 118, 556-577.
Hatami-Marbini, A., & Tavana, M. (2011). An extension of the Electre I method for group decision-making under a fuzzy environment. Omega, 39(4), 373-386.
Hajighasemi, Z., & Mousavi, S.M., (2018). A new approach in failure modes and effects analysis based on compromise solution by considering objective and subjective weights with interval-valued intuitionistic fuzzy sets, Iranian Journal of Fuzzy Systems, 15(1), 139-161.
Jin, B. (2013). ELECTRE method for multiple attributes decision making problem with hesitant fuzzy information. Journal of Intelligent and Fuzzy Systems, 29(2), 463-468.
Liao, H., & Xu, Z. (2013). A VIKOR-based method for hesitant fuzzy multi-criteria decision making. Fuzzy Optimization and Decision Making, 12(4), 373-392.
Mohagheghi, V., Mousavi, S.M. and Vahdani, B., 2015. A new optimization model for project portfolio selection under interval-valued fuzzy environment. Arabian Journal for Science and Engineering, 40(11), pp.3351-3361.
Mohagheghi, V., Mousavi, S.M., & Vahdani, B., (2017a). Enhancing decision-making flexibility by introducing a new last aggregation evaluating approach based on multi-criteria group decision making and Pythagorean fuzzy sets, Applied Soft Computing, 61, 527-535.
Mohagheghi, V., Mousavi, S.M., Vahdani, B., & Siadat, A., (2017b). A mathematical modeling approach for high and new technology-project portfolio selection under uncertain environments, Journal of Intelligent and Fuzzy Systems, 32, 4069–4079.
Mohagheghi, V., Mousavi, S.M., Aghamohagheghi, M., & Vahdani, B., (2017c). A new approach of multi-criteria analysis for the evaluation and selection of sustainable transport investment projects under uncertainty: A case study, International Journal of Computational Intelligence Systems, 10, 605–626.
Mohagheghi, V., Mousavi, S.M., & Vahdani, B., (2017d). Analyzing project cash flow by a new interval type-2 fuzzy model with an application to construction industry, Neural Computing and Applications, 28, 3393–3411.
Mojtahedi, S. M. H., Mousavi, S. M., & Makui, A. (2010). Project risk identification and assessment simultaneously using multi-attribute group decision making technique. Safety Science, 48(4), 499-507.
Montazer, G. A., Saremi, H. Q., & Ramezani, M. (2009). Design a new mixed expert decision aiding system using fuzzy ELECTRE III method for vendor selection. Expert Systems with Applications, 36(8), 10837-10847.
Moradi, N., Mousavi, S.M., & Vahdani, B., (2018). An interval type-2 fuzzy model for project-earned value analysis under uncertainty, Journal of Multiple-Valued Logic and Soft Computing, 30, 79–103.
Moradi, N., Mousavi, S.M., & Vahdani, B., (2017). An earned value model with risk analysis for project management under uncertain conditions, Journal of Intelligent and Fuzzy Systems, 32, 97–113.
Mousavi, S.M., Vahdani, B., Tavakkoli-Moghaddam, R. and Tajik, N., 2014. Soft computing based on a fuzzy grey group compromise solution approach with an application to the selection problem of material handling equipment. International Journal of Computer Integrated Manufacturing, 27(6), pp.547-569.
Mousavi, S.M. and Vahdani, B., 2016. Cross-docking location selection in distribution systems: a new intuitionistic fuzzy hierarchical decision model. International Journal of computational intelligence Systems, 9(1), pp.91-109.
Mousavi, S.M., Vahdani, B. and Behzadi, S.S., 2016. Designing a model of intuitionistic fuzzy VIKOR in multi-attribute group decision-making problems. Iranian Journal of Fuzzy Systems, 13(1), pp.45-65.
Mousavi, S.M., Foroozesh, N., Gitinavard, H., & Vahdani, B., (2018). Solving group decision-making problems in manufacturing systems by an uncertain compromise ranking method, International Journal of Applied Decision Sciences, 11(1), 55-78.
Mousavi, S.M., Antuchevičienė, J., Zavadskas, E.K., Vahdani, B., & Hashemi, H. , (2019). A new decision model for cross-docking center location in logistics networks under interval-valued intuitionistic fuzzy uncertainty, Transport, 34(1), 30-40.
Qiaoping, S., & Ouyang, J. (2015). Hesitant Fuzzy Multi-Attribute Decision Making Based on TOPSIS With Entropy-Weighted Method. Management Science and Engineering, 9(3), 1-6.
Rao, R. V. (2007). Evaluation of Flexible Manufacturing Systems. Decision Making in the Manufacturing Environment: Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods, 125-137.
Roy, B. (1968). Classement et choix en présence de points de vue multiples. RAIRO-Operations Research-Recherche Opérationnelle, 2(V1), 57-75.
Tavakkoli-Moghaddam, R., Gitinavard, H., Mousavi, S. M., & Siadat, A. (2015). An Interval-Valued Hesitant Fuzzy TOPSIS Method to Determine the Criteria Weights, Outlooks and Insights on Group Decision and Negotiation (pp. 157-169): Springer.
Tavakkoli-Moghaddam, R., Mousavi, S.M. & Heydar, M., (2011). An integrated AHP-VIKOR methodology for plant location selection. International Journal of Engineering-Transactions B: Applications, 24(2), 127.
Torra, V. (2010). Hesitant fuzzy sets. International Journal of Intelligent Systems, 25(6), 529-539.
Torra, V., & Narukawa, Y. (2009). On hesitant fuzzy sets and decision. Paper presented at the Fuzzy Systems, 2009. FUZZ-IEEE 2009. IEEE International Conference on.
Vahdani, B., & Hadipour, H. (2011). Extension of the ELECTRE method based on interval-valued fuzzy sets. Soft Computing, 15(3), 569-579.
Vahdani, B., Mousavi, S. M., Tavakkoli-Moghaddam, R., & Hashemi, H. (2013). A new design of the elimination and choice translating reality method for multi-criteria group decision-making in an intuitionistic fuzzy environment. Applied Mathematical Modelling, 37(4), 1781-1799.
Vahdani, B., Mousavi, S.M. and Ebrahimnejad, S., 2014a. Soft computing-based preference selection index method for human resource management. Journal of Intelligent & Fuzzy Systems, 26(1), pp.393-403.
Vahdani, B., Mousavi, S.M., Tavakkoli-Moghaddam, R., Ghodratnama, A. and Mohammadi, M., 2014b. Robot selection by a multiple criteria complex proportional assessment method under an interval-valued fuzzy environment. The International Journal of Advanced Manufacturing Technology, 73(5-8), pp.687-697.
Vahdani, B., Salimi, M., & Mousavi, S.M., (2017). A new compromise solution model based on dantzig-wolf decomposition for solving belief multi-objective nonlinear programming problems with block angular structure, International Journal of Information Technology & Decision Making, 16(2), 333–387.
Wang, J. Q., Wang, D. D., Yu Zhang, H., & Chen, X. H. (2013). Multi-criteria outranking approach with hesitant fuzzy sets. OR Spectrum, 36(4), 1001-1019.
Wei, G., & Zhang, N. (2014). A multiple criteria hesitant fuzzy decision making with Shapley value-based VIKOR method. Journal of Intelligent & Fuzzy Systems, 26(2), 1065-1075.
Wu, M. C., & Chen, T. Y. (2011). The ELECTRE multicriteria analysis approach based on Atanassov’s intuitionistic fuzzy sets. Expert Systems with Applications, 38(10), 12318-12327.
Xia, M., & Xu, Z. (2011). Hesitant fuzzy information aggregation in decision making. International Journal of Approximate Reasoning, 52(3), 395-407.
Xu, Z., & Xia, M. (2011). Distance and similarity measures for hesitant fuzzy sets. Information Sciences, 181(11), 2128-2138.
Xu, Z., & Xia, M. (2012). Identifying and eliminating dominated alternatives in multi-attribute decision making with intuitionistic fuzzy information. Applied Soft Computing, 12(4), 1451-1456.
Xu, Z., & Zhang, X. (2013). Hesitant fuzzy multi-attribute decision making based on TOPSIS with incomplete weight information. Knowledge-Based Systems, 52, 53-64.
Zadeh, L. A. (1965). Fuzzy sets. Information and control, 8(3), 338-353.
Zhang, N., & Wei, G. (2013). Extension of VIKOR method for decision making problem based on hesitant fuzzy set. Applied Mathematical Modelling, 37(7), 4938-4947.
Zhang, Z., Wang, C., Tian, D., & Li, K. (2014). Induced generalized hesitant fuzzy operators and their application to multiple attribute group decision making. Computers & Industrial Engineering, 67, 116-138.