Group decision making based on novel fuzzy modified TOPSIS method

Applied Mathematical Modelling - Tập 35 - Trang 4257-4269 - 2011
Behnam Vahdani1, S. Meysam Mousavi1, Reza Tavakkoli-Moghaddam1
1Department of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran

Tài liệu tham khảo

Yue, 2011, A method for group decision-making based on determining weights of decision makers using TOPSIS, Appl. Math. Model., 35, 1926, 10.1016/j.apm.2010.11.001 B. Vahdani, M. Zandieh, R. Tavakkoli-Moghaddam, Two novel FMCDM methods for alternative-fuel buses selection, Appl. Math. Model., doi:10.1016/j.apm.2010.09.018 Ebrahimnejad, 2010, Risk identification and assessment for build-operate-transfer projects: a fuzzy multi attribute decision making model, Expert Syst. Appl., 37, 575, 10.1016/j.eswa.2009.05.037 Mojtahedi, 2010, Project risk identification and assessment simultaneously using multi-attribute group decision making technique, Saf. Sci., 48, 499, 10.1016/j.ssci.2009.12.016 Malekly, 2010, A fuzzy integrated methodology for evaluating conceptual bridge design, Expert Syst. Appl., 37, 4910, 10.1016/j.eswa.2009.12.024 Chen, 1992 Kuo, 2007, Group decision-making based on concepts of ideal and anti-ideal points in a fuzzy environment, Math. Comput. Model., 45, 324, 10.1016/j.mcm.2006.05.006 Makui, 2010, Project risk identification and analysis based on group decision making methodology in a fuzzy environment, Int. J. Manage. Sci. Eng. Manage., 5, 108 Shih, 2007, An extension of TOPSIS for group decision making, Math. Comput. Model., 45, 801, 10.1016/j.mcm.2006.03.023 Deng, 2000, Inter-company comparison using modified TOPSIS with objective weights, Comput. Oper. Res., 27, 963, 10.1016/S0305-0548(99)00069-6 S.M. Mousavi, H. Malekly, H. Hashemi, S.M.H. Mojtahedi, A two phase fuzzy decision making methodology for bridge scheme selection, in: Proc. of the IEEE International Conference on Industrial Engineering and Engineering Management, M. Helander, M. Xie, R. Jiao (Eds.), Singapore, 8-11 December, pp. 415–419, 2008. Byun, 2005, A decision support system for the selection of a rapid prototyping process using the modified TOPSIS method, Int. J. Adv. Manuf. Technol., 26, 1338, 10.1007/s00170-004-2099-2 Chu, 2003, A fuzzy TOPSIS method for robot selection, Int. J. Adv. Manuf. Technol., 21, 284, 10.1007/s001700300033 Rao, 2007 Chen, 2006, A fuzzy approach for supplier evaluation and selection in supply chain management, Int. J. Prod. Econ., 102, 289, 10.1016/j.ijpe.2005.03.009 M. Heydar, R. Tavakkoli-Moghaddam, S.M. Mousavi, S.M.H. Mojtahedi, Fuzzy multi-criteria decision making method for temporary storage design in industrial plants, in: Proc. of the IEEE International Conference on Industrial Engineering and Engineering Management, M. Helander, M. Xie, R. Jiao (Eds.), Singapore, 8–11 December, pp. 1154–1158, 2008. Chen, 2000, Extensions of the TOPSIS for group decision-making under fuzzy environment, Fuzzy Sets Syst., 114, 1, 10.1016/S0165-0114(97)00377-1 Rao, 2006, Selection, identification and comparison of industrial robots using digraph and matrix methods, Robot. Comput. Int. Manuf., 22, 373, 10.1016/j.rcim.2005.08.003 Mahdavi, 2008, Designing a model of fuzzy TOPSIS in multiple criteria decision making, Appl. Math. Comput., 206, 607, 10.1016/j.amc.2008.05.047 Chu, 2009, An interval arithmetic based fuzzy TOPSIS model, Expert Syst. Appl., 36, 10870, 10.1016/j.eswa.2009.01.083 Wang, 2009, Developing a fuzzy TOPSIS approach based on subjective weights and objective weights, Expert Syst. Appl., 36, 8980, 10.1016/j.eswa.2008.11.035 Kumar, 2010, Optimal selection of robots by using distance based approach method, Robot. Comput. Int. Manuf., 26, 500, 10.1016/j.rcim.2010.03.012 Chatterjee, 2010, Selection of industrial robots using compromise ranking and outranking methods, Robot. Comput. Int. Manuf., 26, 483, 10.1016/j.rcim.2010.03.007 Hwang, 1981 Kaufmann, 1991 Ross, 2004 Liang, 1993, A fuzzy multi-criteria decision making approach for robot selection, Robot. Comput. Int. Manuf., 10, 267, 10.1016/0736-5845(93)90040-Q