Metoda TOPSIS w warunkach rozmytości intuicjonistycznej

• Autorzy: Piotr Dworniczak

Warianty tytułu

TOPSIS in the Intuitionistic Fuzzy Environment

• Języki publikacji: PL

Abstrakty

Metoda TOPSIS jest jedną z podstawowych metod wielokryterialnego wspomagania decyzji. W artykule omówiono algorytm metody TOPSIS oraz jego odpowiedniki w warunkach rozmytości intuicjonistycznej znane z dotychczasowej literatury. Przedstawiono również podstawowe definicje z zakresu teorii intuicjonistycznych zbiorów rozmytych, w tym określenia odległości wykorzystywane w metodach klasy TOPSIS. (abstrakt oryginalny)

EN

TOPSIS is one of the basic methods of multicriteria decision aid. In the paper a classical algorithm TOPSIS and its equivalents in the intuitionistic fuzzy environment are presented. The basic definitions of the intuitionistic fuzzy sets theory, including the concept of distance used in the TOPSIS-class methods, are given. (original abstract)

Słowa kluczowe

PL

Systemy wspomagania decyzji; Teoria wspomagania decyzji; Algorytmy; Zbiory rozmyte; Metoda TOPSIS

EN

Decision Support Systems (DSS); Theory of decision support; Algorithms; Fuzzy sets; Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS)

• Czasopismo: Zeszyty Naukowe / Uniwersytet Ekonomiczny w Poznaniu
• Rocznik: 2012
• Numer: nr 241
• Strony: 64--76

Twórcy

autor

Piotr Dworniczak

• Uniwersytet Ekonomiczny w Poznaniu

Bibliografia

• Atanassov, K.T., 1986, Intuitionistic Fuzzy Sets, Fuzzy Sets and Systems, vol. 20, s. 87-96.
• Atanassov, K.T., 1999, Intuitionistic Fuzzy Sets: Theory and Applications, Physica-Verlag, Springer, Heidelberg.
• Bo, Y., 2011, Construction Safety Evaluation Based on Intuitionistic Fuzzy TOPSIS, CECNet, s. 1136-1139.
• Boran, F.E., Genc, S., Kurt, M., Akay, D., 2009, A Multi-criteria Intuitionistic Fuzzy Group Decision Making for Supplier Selection with TOPSIS Method, Expert Systems with Applications, vol. 36, no. 8, s. 11363-11368.
• Guo, Z.X., Qi, M., Zhao, X., 2010, A New Approach Based on Intuitionistic Fuzzy Set for Selection of Suppliers, Proceedings of the ICNC 2010, 10-12 August, Yantoi, China, vol. 7, s. 3715-3718.
• Guo, Z.X., Zhang, Q., 2009, A New Approach to Project Risk Evaluation Based on Intuitionistic Fuzzy Sets, Proceedings of the FSKD 2009, 14-16 August, Tianjiu, China, vol. 6, s. 58-61.
• Hung, C.C., Chen, L.H., 2009, A Fuzzy TOPSIS Decision Making Model with Entropy Weight under Intuitionistic Fuzzy Environment, Proceedings of the IMECS 2009, 18-20 March, Hong Kong, vol. 1, s. 13-16.
• Hwang, C.L., Yoon, K., 1981, Multiple Attribute Decision Making - Methods and Applications, A State-of-the-Art Survey, Springer, New York.
• Li, J., Zhang, C.Y., 2009, A New Solution of Intuitionistic Fuzzy Multiple Attribute Decision-making Based on Attributes Preference, Proceedings of the FSKD 2009, 14-16 August, Tianjiu, China, vol. 3, s. 228-232.
• Liu, P.D., 2007, Research on Risk Evaluation for Venture Capital Based on Intuitionistic Fuzzy Set and TOPSIS, Proceedings of the ISDPE 2007, 1-3 November, Chendu, Sichau, China, s. 415-417.
• Luo, Y., Yu, C., 2008, A Fuzzy Optimization Method for Multi-criteria Decision-making Problem Based on the Inclusion Degrees of Intuitionistic Fuzzy Sets, Journal of Information and Computing Science, vol. 3, no. 2, s. 146-152.
• Szmidt, E., Kacprzyk, J., 2000, Distances between Intuitionistic Fuzzy Sets, Fuzzy Sets and Systems, vol. 114, no. 3, s. 505-518.
• Szmidt, E., Kacprzyk, J., 2006, A Model of Case Based Reasoning Using Intuitionistic Fuzzy Sets, w: Proceedings of the IEEE International Conference on Fuzzy Systems, 16-21 July, Vancouver, Canada, s. 1769-1776.
• Szmidt, E., Kacprzyk, J., 2008, Dilemmas with Distances between Intuitionistic Fuzzy Sets: Straightforward Approaches May not Work, w: Chountas, P., Petrounias, I., Kacprzyk, J., (eds.), Intelligent Techniques and Tools for Novel System Architectures, SCI, vol. 109, Springer, Berlin, s. 415-430.
• Wang, H.J., Wei, G.W., 2008, An Effective Supplier Selection Method with Intuitionistic Fuzzy Information, International Conference on Wireless Communications, Networking and Mobile Computing, 12-17 October, Daliau, China.
• Wen, L., Zhang, X.J., 2010, Intuitionistic Fuzzy Group Decision Making for Supply Chain Information. Collaboration Partner Selection, ISME, vol. 2, s. 43-46.
• Xu, Z.S., 2007, Some Similarity Measures of Intuitionistic Fuzzy Sets and Their Applications to Multiple Attribute Decision Making, Fuzzy Optimization and Decision Making, vol. 6, no. 2, s. 109-121.