Development of a novel multiple-attribute decision making model via fuzzy cognitive maps and hierarchical fuzzy TOPSIS
Tài liệu tham khảo
Akgun, 2010, Fuzzy integrated vulnerability assessment model for critical facilities in combating the terrorism, Expert Syst. Appl., 37, 3561, 10.1016/j.eswa.2009.10.035
D.J. Armstrong, Causal mapping: a discussion and demonstration, in: Causal Mapping for Research in Information Technology, IGI Global, 2005, pp. 20–45.
Aschenbrenner, 1980, Hierarchical goal structuring and pupils’ job choices: Testing a decision aid in the field, Acta Psychol., 45, 35, 10.1016/0001-6918(80)90020-7
Bana e Costa, 2012, A multicriteria decision analysis model for faculty evaluation, Omega, 40, 424, 10.1016/j.omega.2011.08.006
Bao, 2012, Improved hierarchical fuzzy TOPSIS for road safety performance evaluation, Knowl.-Based Syst., 32, 84, 10.1016/j.knosys.2011.08.014
Baykasoğlu, 2013, Integrating fuzzy DEMATEL and fuzzy hierarchical TOPSIS methods for truck selection, Expert Syst. Appl., 40, 899, 10.1016/j.eswa.2012.05.046
Bell, 1988
Bellman, 1970, Decision-Making in a fuzzy environment, Manage. Sci., 17, 141, 10.1287/mnsc.17.4.B141
Belton, 2002
Belton, 2010, Problem structuring and multiple criteria decision analysis, 209
Bennett, 2001, Drama theory and confrontation analysis
Biloslavo, 2012, Integrating group Delphi, analytic hierarchy process and dynamic fuzzy cognitive maps for a climate warning scenario, Kybernetes, 41, 414, 10.1108/03684921211229497
Bryson, 2004
Bueno, 2009, Benchmarking main activation functions in fuzzy cognitive maps, Expert Syst. Appl., 36, 5221, 10.1016/j.eswa.2008.06.072
Büyüközkan, 2009, Evaluation of 4PL operating models: a decision making approach based on 2-additive Choquet integral, Int. J. Prod. Econ., 121, 112, 10.1016/j.ijpe.2008.03.013
J.P. Carvalho, J.A.B. Tome, Rule based fuzzy cognitive maps – expressing time in qualitative system dynamics, in: The 10th IEEE International Conference on Fuzzy Systems, 2001, 2001, pp. 280–283.
Checkland, 1999
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
Chen, 1992
Coccia, 2008, Measuring scientific performance of public research units for strategic change, J. Informetrics, 2, 183, 10.1016/j.joi.2008.04.001
Corrente, 2013, Multiple criteria hierarchy process with ELECTRE and PROMETHEE, Omega, 41, 820, 10.1016/j.omega.2012.10.009
Dempster, 1967, Upper and lower probabilities induced by a multivalued mapping, Ann. Math. Stat., 38, 325, 10.1214/aoms/1177698950
Dobbins, 2011, An analytical framework for the cross-country comparison of higher education governance, High Educ., 62, 665, 10.1007/s10734-011-9412-4
Dubois, 2001, Decision-theoretic foundations of qualitative possibility theory, Eur. J. Oper. Res., 128, 459, 10.1016/S0377-2217(99)00473-7
Dyer, 2005, Maut — multiattribute utility theory, 265
Eden, 1999, Using cognitive mapping for strategic options development and analysis (SODA), 21
Eden, 2001, SODA – the principles, 21
Feng, 2010, A hybrid fuzzy integral decision-making model for locating manufacturing centers in China: a case study, Eur. J. Oper. Res., 200, 63, 10.1016/j.ejor.2008.12.004
Fishburn, 1970
Friend, 2001, The strategic choice approach
Gabus, 1976
Gencer, 2007, Analytic network process in supplier selection: a case study in an electronic firm, Appl. Math. Model., 31, 2475, 10.1016/j.apm.2006.10.002
Glykas, 2012, Performance measurement scenarios with fuzzy cognitive strategic maps, Int. J. Inf. Manage., 32, 182, 10.1016/j.ijinfomgt.2011.12.004
Gonzalez, 2009, A cognitive map and fuzzy inference engine model for online design and self fine-tuning of fuzzy logic controllers, Int. J. Intell. Syst., 24, 1134, 10.1002/int.20379
J.L. Gonzalez, O. Castillo, L.T. Aguilar, Performance analysis of Cognitive Map-Fuzzy Logic Controller model for adaptive control application, in: IEEE International Conference on Fuzzy Systems, 2008, FUZZ-IEEE 2008, (IEEE World Congress on Computational Intelligence), 2008, pp. 2375–2381.
Grabisch, 2008, A review of methods for capacity identification in Choquet integral based multi-attribute utility theory: applications of the Kappalab R package, Eur. J. Oper. Res., 186, 766, 10.1016/j.ejor.2007.02.025
Grabisch, 2010, A decade of application of the Choquet and Sugeno integrals in multi-criteria decision aid, Ann. Oper. Res., 175, 247, 10.1007/s10479-009-0655-8
Guitouni, 1998, Tentative guidelines to help choosing an appropriate MCDA method, Eur. J. Oper. Res., 109, 501, 10.1016/S0377-2217(98)00073-3
M. Hagiwara, Extended fuzzy cognitive maps, in: IEEE International Conference on Fuzzy Systems, 1992, 1992, pp. 795–801.
Hwang, 1981
Jharkharia, 2007, Selection of logistics service provider: an analytic network process (ANP) approach, Omega, 35, 274, 10.1016/j.omega.2005.06.005
Kahraman, 2007, Hierarchical fuzzy TOPSIS model for selection among logistics information technologies, J. Enterprise Inform. Manage., 20, 143, 10.1108/17410390710725742
Kahraman, 2007, A two phase multi-attribute decision-making approach for new product introduction, Inf. Sci., 177, 1567, 10.1016/j.ins.2006.09.008
Kahraman, 2007, Fuzzy multi-criteria evaluation of industrial robotic systems, Comput. Ind. Eng., 52, 414, 10.1016/j.cie.2007.01.005
Kahraman, 2006, A fuzzy optimization model for QFD planning process using analytic network approach, Eur. J. Oper. Res., 171, 390, 10.1016/j.ejor.2004.09.016
Keeney, 1988, Building models of values, Eur. J. Oper. Res., 37, 149, 10.1016/0377-2217(88)90324-4
Keeney, 1992
Kosko, 1986, Fuzzy cognitive maps, Int. J. Man Mach. Stud., 24, 65, 10.1016/S0020-7373(86)80040-2
Kosko, 1997
Kottas, 2007, Fuzzy cognitive network: a general framework, Intell. Decis. Technol., 1, 183, 10.3233/IDT-2007-1402
Krantz, 1964, Conjoint measurement: the Luce–Tukey axiomatization and some extensions, J. Math. Psychol., 1, 248, 10.1016/0022-2496(64)90003-3
Lee, 2000, Using analytic network process and goal programming for interdependent information system project selection, Comput. Oper. Res., 27, 367, 10.1016/S0305-0548(99)00057-X
Magoč, 2011, The optimality of non-additive approaches for portfolio selection, Expert Syst. Appl., 38, 12967, 10.1016/j.eswa.2011.04.093
I. Mahdavi, N. Asadian, M. Khavarpour, A two phase multi-attribute decision-making approach for supplier selection in supply chain management, in: 37th International Conference on Computers and Industrial Engineering, 2007, pp. 519–529.
Maier, 2013, A semi-automated approach for structuring multi criteria decision problems, Eur. J. Oper. Res., 225, 487, 10.1016/j.ejor.2012.10.018
Marichal, 2000, An axiomatic approach of the discrete Choquet integral as a tool to aggregate interacting criteria, IEEE Trans. Fuzzy Syst., 8, 800, 10.1109/91.890347
Marichal, 2004, Tolerant or intolerant character of interacting criteria in aggregation by the Choquet integral, Eur. J. Oper. Res., 155, 771, 10.1016/S0377-2217(02)00885-8
Mateou, 2008, A framework for developing intelligent decision support systems using evolutionary fuzzy cognitive maps, J. Intell. Fuzzy Syst., 19, 151
Meade, 1999, Analyzing organizational project alternatives for agile manufacturing processes: an analytical network approach, Int. J. Prod. Res., 37, 241, 10.1080/002075499191751
Mehrjerdi, 2013, Hierarchical multi-criteria risk-benefit analysis in fuzzy environment, Appl. Soft Comput., 13, 590, 10.1016/j.asoc.2012.08.018
Mingers, 2011, Soft OR comes of age—but not everywhere!, Omega, 39, 729, 10.1016/j.omega.2011.01.005
F. Mizikaci, Higher education in Turkey, UNESCO, Bucharest, CEPES, 2006.
Murias, 2008, A composite indicator for university quality assesment: the case of spanish higher education system, Soc Indic Res, 89, 129, 10.1007/s11205-007-9226-z
Olsen, 2007, The institutional dynamics of the european university, 25
Opricovic, 2003, Defuzzification within a multicriteria decision model, Int. J. Uncertain. Fuzz. Knowl.-Based Syst., 11, 635, 10.1142/S0218488503002387
Opricovic, 2004, Compromise solution by MCDM methods: a comparative analysis of VIKOR and TOPSIS, Eur. J. Oper. Res., 156, 445, 10.1016/S0377-2217(03)00020-1
Özesmi, 2004, Ecological models based on people’s knowledge: a multi-step fuzzy cognitive mapping approach, Ecol. Model., 176, 43, 10.1016/j.ecolmodel.2003.10.027
Paksoy, 2012, Organizational strategy development in distribution channel management using fuzzy AHP and hierarchical fuzzy TOPSIS, Expert Syst. Appl., 39, 2822, 10.1016/j.eswa.2011.08.142
Papageorgiou, 2012, Learning algorithms for fuzzy cognitive maps—a review study, IEEE Trans. Syst. Man Cybern. Part C: Appl. Rev., 42, 150, 10.1109/TSMCC.2011.2138694
Papageorgiou, 2013, Review study on fuzzy cognitive maps and their applications during the last decade, 281
Papageorgiou, 2013, A review of fuzzy cognitive maps research during the last decade, IEEE Trans. Fuzzy Syst., 21, 66, 10.1109/TFUZZ.2012.2201727
Pedrycz, 2010, The design of cognitive maps: a study in synergy of granular computing and evolutionary optimization, Expert Syst. Appl., 37, 7288, 10.1016/j.eswa.2010.03.006
W. Pedrycz, W. Homenda, From fuzzy cognitive maps to granular cognitive maps, in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2012, pp. 185–193.
Perçin, 2008, Fuzzy multi-criteria risk-benefit analysis of business process outsourcing (BPO), Inf. Manage. Comput. Secur., 16, 213, 10.1108/09685220810893180
Rodriguez-Repiso, 2007, Modelling IT projects success: emerging methodologies reviewed, Technovation, 27, 582, 10.1016/j.technovation.2006.12.006
Rosenhead, 2001, Robustness analysis: keeping your options open, 181
Rosenhead, 2001
Roshandel, 2013, Evaluating and selecting the supplier in detergent production industry using hierarchical fuzzy TOPSIS, Appl. Math. Model., 37, 10170, 10.1016/j.apm.2013.05.043
Roy, 1990, The outranking approach and the foundations of ELECTRE methods, 155
Saaty, 1980
Saaty, 1990, How to make a decision: the analytic hierarchy process, Eur. J. Oper. Res., 48, 9, 10.1016/0377-2217(90)90057-I
Saaty, 1996
Saaty, 2010, The scope of human values and human activities in decision making, Appl. Soft Comput., 10, 963, 10.1016/j.asoc.2010.04.002
Saaty, 2009, Structures in decision making: on the subjective geometry of hierarchies and networks, Eur. J. Oper. Res., 199, 867, 10.1016/j.ejor.2009.01.064
Sage, 1977
Salmeron, 2012, Ranking fuzzy cognitive map based scenarios with TOPSIS, Expert Syst. Appl., 39, 2443, 10.1016/j.eswa.2011.08.094
Sarkis, 1998, Evaluating environmentally conscious business practices, Eur. J. Oper. Res., 107, 159, 10.1016/S0377-2217(97)00160-4
Shiau, 2013, Developing an indicator system for local governments to evaluate transport sustainability strategies, Ecol. Ind., 34, 361, 10.1016/j.ecolind.2013.06.001
Shyur, 2006, A hybrid MCDM model for strategic vendor selection, Math. Comput. Modell., 44, 749, 10.1016/j.mcm.2005.04.018
Stach, 2010, Expert-based and computational methods for developing fuzzy cognitive maps, 23
Stach, 2005, Genetic learning of fuzzy cognitive maps, Fuzzy Sets Syst., 153, 371, 10.1016/j.fss.2005.01.009
M. Sugeno, Theory of fuzzy integrals and its applications, in, Tokyo Institute of Technology, 1974.
Sugeno, 1977, Fuzzy measures and fuzzy integrals-a survey, 89
Tolga, 2008, Fuzzy multicriteria R&D project selection with a real options valuation model, J. Intell. Fuzzy Syst., 19, 359
Tsadiras, 2008, Comparing the inference capabilities of binary, trivalent and sigmoid fuzzy cognitive maps, Inf. Sci., 178, 3880, 10.1016/j.ins.2008.05.015
Tzeng, 2011, Fuzzy integral technique, 109
Tzeng, 2005, Hierarchical MADM with fuzzy integral for evaluating enterprise intranet web sites, Inf. Sci., 169, 409, 10.1016/j.ins.2004.07.001
Uysal, 2012, Fuzzy TOPSIS-based computerized maintenance management system selection, J. Manuf. Technol. Manage., 23, 212, 10.1108/17410381211202205
Verma, 1998, An analysis of the supplier selection process, Omega, 26, 739, 10.1016/S0305-0483(98)00023-1
Wang, 2013, A hierarchical fuzzy TOPSIS approach to assess improvement areas when implementing green supply chain initiatives, Int. J. Prod. Res., 51, 3117, 10.1080/00207543.2012.754553
Wedley, 1993, Clustering, dependence and ratio scales in AHP: rank reversals and incorrect priorities with a single criterion, J. Multi-Criteria Decis. Anal., 2, 145, 10.1002/mcda.4020020304
Xirogiannis, 2004, A fuzzy cognitive map approach to support urban design, Expert Syst. Appl., 26, 257, 10.1016/S0957-4174(03)00140-4
Yang, 2008, Vendor selection by integrated fuzzy MCDM techniques with independent and interdependent relationships, Inf. Sci., 178, 4166, 10.1016/j.ins.2008.06.003
Yu, 2006, A soft computing method for multi-criteria decision making with dependence and feedback, Appl. Math. Comput., 180, 63, 10.1016/j.amc.2005.11.163
Zadeh, 1965, Fuzzy sets, Inf. Control, 8, 338, 10.1016/S0019-9958(65)90241-X