Beg, Ismat and Rashid, Tabasam (2012): Multi-criteria trapezoidal valued intuitionistic fuzzy decision making with Choquet integral based TOPSIS. Published in: OPSEARCH , Vol. 51, No. 1 (10 March 2014): pp. 98-129.
PDF
MPRA_paper_95915.pdf Download (228kB) |
Abstract
A generalized trapezoidal-valued intuitionistic fuzzy geometric aggregation operator is proposed which is then used to aggregate decision makers' opinions in group decision making process. An extension of TOPSIS, a multi-criteria trapezoidal-valued intuitionistic fuzzy decision making technique, to a group decision environment is also proposed, where inter-dependent or interactive characteristics among criteria and preference of decision makers are under consideration. Furthermore, Choquet integral-based distance between trapezoidal-valued intuitionistic fuzzy values is defined. Combining the trapezoidal-valued intuitionistic fuzzy geometric aggregation operator with Choquet integral-based distance, an extension of TOPSIS method is developed to deal with a multi-criteria trapezoidal-valued intuitionistic fuzzy group decision making problems. Finally, an illustrative example is provided to understand the proposed method.
Item Type: | MPRA Paper |
---|---|
Original Title: | Multi-criteria trapezoidal valued intuitionistic fuzzy decision making with Choquet integral based TOPSIS |
English Title: | Multi-criteria trapezoidal valued intuitionistic fuzzy decision making with Choquet integral based TOPSIS |
Language: | English |
Keywords: | Technique for order preference by similarity to ideal solution; Multi-criteria group decision making; Interval-valued intuitionistic fuzzy sets; Fuzzy measures; GIIFGA operator. |
Subjects: | C - Mathematical and Quantitative Methods > C4 - Econometric and Statistical Methods: Special Topics > C44 - Operations Research ; Statistical Decision Theory C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C61 - Optimization Techniques ; Programming Models ; Dynamic Analysis D - Microeconomics > D7 - Analysis of Collective Decision-Making > D71 - Social Choice ; Clubs ; Committees ; Associations |
Item ID: | 95915 |
Depositing User: | Prof Ismat Beg |
Date Deposited: | 16 Sep 2019 14:18 |
Last Modified: | 26 Sep 2019 23:42 |
References: | Angilella, S., Greco, S., Lamantia, F., Matarazzo, B.: Assessing non-additive utility for multicriteria decision aid. European Journal of Operational Research. 158, 734--744 (2004) Angilella, S., Greco, S., Matarazzo, B.: Non-additive robust ordinal regression: A multiple criteria decision model based on the Choquet integral. European Journal of Operational Research. 201, 277--288 (2010) Ashtiani, B., Haghighirad, F., Makui, A., Montazer, G.: Extension of fuzzy TOPSIS method based on interval-valued fuzzy sets. Applied Soft Computing. 9, 457--461 (2009) Atanassov, K.: Intuitionistic fuzzy sets. Fuzzy Sets and Systems. 20, 87--96 (1986) Atanassov, K.: Operators over interval-valued intuitionistic fuzzy sets. Fuzzy Sets and Systems. 64, 159--174 (1994) Atanassov, K.: Intuitionistic fuzzy sets. Theory and applications. Heidelberg: Physica-Verlag (1999) Atanassov89 : Atanassov, K., Gargov, G.: Interval-valued intuitionistic fuzzy sets. Fuzzy Sets and Systems. 31, 343--349 (1989) Boran, F.E., Gen, S., Kurt, M., Akay, D.: A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method. Expert Systems with Applications. 36, 11363--11368 (2009) Büyüközkan, G., Ruan, D.: Choquet integral based aggregation approach to software development risk assessment. Information Sciences. 180, 441--451 (2010) Chen, C.T.: Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets and Systems. 114, 1--9 (2000) Chen, S.J., Hwang, C.L.: Fuzzy multiple attribute decision making. Berlin: Springer (1992) Chen08 : Chen, T.-Y., Tsao, C.-Y.: The interval-valued fuzzy TOPSIS method and experimental analysis. Fuzzy Sets and Systems. 159, 1410--1428 (2008) Choquet, G.: Theory of capacities. Annales del Institut Fourier. 5, 131--295 (1953) Chu, T.-C., Lin, Y.-C.: An interval arithmetic based fuzzy TOPSIS model. Expert Systems with Applications. 36, 10870--10876 (2009) Demirel, T., Demirel, N.C., Kahraman, C.: Multi-criteria warehouse location selection using Choquet integral. Expert Systems with Applications. 37, 3943--3952 (2010) Grabisch, M., Labreuche, C.: A decade of application of the Choquet and Sugeno integrals in multi-criteria decision aid. Annuals of Operation Research. 175, 247--286 (2010) Grabisch, M.: Fuzzy integral in multicriteria decision making. Fuzzy Sets and Systems. 69, 279--298 (1995) Grabisch, M.: A new algorithm for identifying fuzzy measures and its application to pattern recognition. In International joint conference 4th IEEE international conference on fuzzy systems and the 2nd international fuzzy engineering symposium, Yokohama, Japan 145--150 (1995) Grabisch, M.: The representation of importance and interaction of features by fuzzy measures. Pattern Recognition Letters. 17, 567--575 (1996) Grabisch, M.: The application of fuzzy integrals in multicriteria decision making. European Journal of Operational Research. 89, 445--456 (1996) Grabisch, M.: Alternative representations of discrete fuzzy measures for decision making. International Journal of Uncertainty, Fuzziness, and Knowledge Based Systems. 5, 587--607 (1997) Grabisch, M., Murofushi, T., Sugeno, M.: Fuzzy measure and integrals. New York: Physica-Verlag (2000) Herrera, F., Herrera-Viedma, E., Martinez, L.: A fusion approach for managing multi-granularity linguistic term sets in decision making. Fuzzy Sets and Systems. 114, 43--58 (2000) Hu, Y.C.: Classification performance evaluation of single-layer perceptron with Choquet integral-based TOPSIS. Applied Intelligence. 29, 204--215 (2000) Hwang, C.L., Yoon, K.: Multiple attributes decision making methods and applications. Berlin, Heidelberg: Springer (1981) Ishii, K., Sugeno, M.: A model human evaluation process using fuzzy measure. International Journal of Man-Machine Studies. 22, 19--38 (1985) Jahanshahloo, G.R., Hosseinzadeh Lotfi, F., Izadikhah, M.: Extension of the TOPSIS method for decision-making problems with fuzzy data. Applied Mathematics and Computation, 181, 1544--1551 (2006) Keeney, R.L., Raiffa, H.: Decision with multiple objectives. New York: Wiley (1976) Klement, E.P., Mesiar, R., Pap, E.:Triangular norms. Dordrecht: Kluwer Academic Publishers (2000) Kojadinovic, I.: Modeling interaction phenomena using fuzzy measures: On the notions of interaction and independence. Fuzzy Sets and Systems. 135, 317--340 (2002) Kuo, M.S., Tzeng, G.H., Huang, W.C.:Group decision-making based on concepts of ideal and anti-ideal points in a fuzzy environment. Mathematical and Computer Modelling. 45, 324--339 (2007) Labreuche, C., Grabisch, M.: The Choquet integral for the aggregation of interval scales in multicriteria decision making. Fuzzy Sets and Systems. 137, 11--26 (2003) Labreuche, C., Grabisch, M.: Generalized Choquet-like aggregation functions for handling bipolar scales. European Journal of Operational Research. 172, 931--955 (2006) Liginlal, D., Ow, T.T.: Modeling attitude to risk in human decision processes: An application of fuzzy measures. Fuzzy Sets and Systems. 157, 3040--3054 (2006) Li, D.F., Wang, Y.C., Liu, S., Shan, F.: Fractional programming methodology for multi-attribute group decision making using IFS. Applied Soft Computing. 8, 219--225 (2008) Mahdavi, I., Mahdavi-Amiri, N., Heidarzade, A., Nourifar, R.: Designing a model of fuzzy TOPSIS in multiple criteria decision making. Applied Mathematics and Computation. 206, 607--617 (2008) Meyer, P., Roubens, M.: On the use of the Choquet integral with fuzzy numbers in multiple criteria decision support. Fuzzy Sets and Systems. 157, 927--938 (2006) Negi, D.S.: Fuzzy analysis and optimization. PhD thesis. Department of Industrial Engineering. Kansas State University (1989) Onisawa, T., Sugeno, M., Nishiwaki, Y., Kawai, H., Harima, Y.: Fuzzy measure analysis of public attitude towards the use of nuclear energy. Fuzzy Sets and System. 120, 259--289 (1986) Roubens, M.: Interaction between criteria and definition of weights in MCDA problems. In Proceedings of the 44th meeting of the european working group multicriteria aid for decisions, Brussels, Belgium (1996) Saad, I., Hammadi, S., Benrejeb, M., Borne, P.: Choquet integral for criteria aggregation in the flexible job-shop scheduling problems. Mathematics and Computers in Simulation. 76, 447--462 (2008) Schnatter, S.F.: On statistical inference for fuzzy data with applications to descriptive statistics. Fuzzy Sets and Systems. 50, 143--165 (1992) Shieh, J.I., Wu, H.H., Liu, H.C.: Applying a complexity-based Choquet integral to evaluate students' performance. Expert Systems with Applications. 36, 5100--5106 (2009) Su, Z.X., Xia, G.P., Chen, M.Y., Wang, L.: Induced generalized intuitionistic fuzzy OWA operator for multi-attribute group decision making. Expert Systems with Applications. 39, 1902-1920 (2012) Sugeno, M.: Theory of fuzzy integral and its application. Doctorial Dissertation, Tokyo Institute of Technology (1974) Tan, C., Zhang, Q.: Fuzzy multiple attribute decision making based on interval-valued intuitionistic fuzzy sets. In Proceeding of the 2006 IEEE international conference on system, man, and cybernetics, October, Taipei, Taiwan, China 1404--1407 (2006) Tan, C.: A multi-criteria interval-valued intuitionistic fuzzy group decision making with Choquet integral-based TOPSIS. Expert Systems with Applications. 38, 3023--3033 (2011) Tan, C.Q., Chen, X.H.: Intuitionistic fuzzy Choquet integral operator for multi-criteira decision making. Expert Systems with Applications. 37, 149--157 (2010) Tan, C.Q., Chen, X.H.: Induced Choquet ordered averaging operator and its application to group decision making. International Journal of Intelligent Systems. 25, 59--82 (2010) Tseng, M.L., Chiang, J.H., Lan, L.W.: Selection of optimal supplier in supply chain management strategy with analytic network process and Choquet integral. Computers and Industrial Engineering. 57, 330--340 (2009) Tseng, M.L., Yang, Y.P.O., Lin, C.T., Chen, C.B.: Hierarchical MADM with fuzzy integral for evaluating enterprise intranet web sites. Information Sciences. 169, 409--426 (2005) Wakker, P.: Additive representations of preferences. Kluwer Academic Publishers (1999) Wang, J.H., Hao, J.Y.: A new version of 2-tuple fuzzy linguistic representation model for computing with words. IEEE Transactions on Fuzzy Systems. 14, 435--445 (2006) Wang, T.C., Chang, T.H.: Application of TOPSIS in evaluating initial training aircraft under a fuzzy environment. Expert Systems with Applications. 33, 870--880 (2007) Wang, Y.J., Lee, H.S.: Generalizing TOPSIS for fuzzy multiple-criteria group decision-making. Computers and Mathematics with Applications. 53, 1762--1772 (2007) Wang, Z., Klir, G.: Fuzzy measure theory. New York: Plenum press (1992) Wei, G.W.: Some geometric aggregation functions and their application to dynamic multiple attribute decision making in the intuitionistic fuzzy setting. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. 17, 179--196 (2009) Xu, Z.S.: Methods for aggregating interval-valued intuitionistic fuzzy information and their application to decision making. Control and Decision. 22, 215--219 (2007) Xu, Z.S.: Correlated linguistic information aggregation. International Journal of Uncertainty Fuzziness and Knowledge-Based Systems. 17, 633--647 (2009) Xu, Z.S.: Choquet integrals of weighted intuitionistic fuzzy information. Information Sciences. 180, 726--736 (2010) Xu, Z., Xia, M.: Induced generalized intuitionistic fuzzy operators. Knowledge-Based Systems. 24, 197-209 (2011) Yager, R.R.: Induced aggregation operators. Fuzzy Sets and Systems. 137, 59--69 (2003) Yager, R.R.: OWA aggregation of intuitionistic fuzzy sets. International Journal of General Systems. 38, 617--641 (2009) Yang, W., Chen, Z.: The quasi-arithmetic intuitionistic fuzzy OWA operators. Knowledge-Based Systems. 27, 219-233 (2012) Yeh, C.H., Deng, H.: A practical approach to fuzzy utilities comparison in fuzzy multicriteria analysis. International Journal of Approximate Reasoning. 35, 179--194 (2004) Yeh, C.H., Deng, H., Chang, Y.H.: Fuzzy multicriteria analysis for performance evaluation of bus companies. European Journal of Operational Research. 126, 459--473 (2000) Zadeh, L.A.: Fuzzy sets. Information and Control. 8, 338--356 (1965) zimmermann91 : Zimmermann, H.J.: Fuzzy Set Theory and Its Applications. Kluwer, Dordrecht (1991) |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/95915 |