Chen, Chen-Tung Extensions of the TOPSIS for group decision-making under fuzzy environment. (English) Zbl 0963.91030 Fuzzy Sets Syst. 114, No. 1, 1-9 (2000). Summary: The aim of this paper is to extend the TOPSIS to the fuzzy environment. Owing to vague concepts frequently represented in decision data, the crisp value are inadequate to model real-life situations. In this paper, the rating of each alternative and the weight of each criterion are described by linguistic terms which can be expressed in triangular fuzzy numbers. Then, a vertex method is proposed to calculate the distance between two triangular fuzzy numbers. According to the concept of the TOPSIS, a closeness coefficient is defined to determine the ranking order of all alternatives by calculating the distances to both the fuzzy positive-ideal solution and fuzzy negative-ideal solution simultaneously. Finally, an example is shovm to highlight the procedure of the proposed method at the end of this paper. Cited in 1 ReviewCited in 184 Documents MSC: 91B06 Decision theory 91F20 Linguistics 03E72 Theory of fuzzy sets, etc. Keywords:TOPSIS; linguistic variables; triangular fuzzy number; MCDM PDF BibTeX XML Cite \textit{C.-T. Chen}, Fuzzy Sets Syst. 114, No. 1, 1--9 (2000; Zbl 0963.91030) Full Text: DOI References: [1] Bellman, R. E.; Zadeh, L. A., Decision-making in a fuzzy environment, Management Sci., 17, 4, 141-164 (1970) · Zbl 0224.90032 [2] Buckley, J. J., Fuzzy hierarchical analysis, Fuzzy Sets and Systems, 17, 233-247 (1985) · Zbl 0602.90002 [4] Delgado, M.; Verdegay, J. L.; Vila, M. A., Linguistic decision-making models, Int. J. Intelligent System, 7, 479-492 (1992) · Zbl 0756.90001 [5] Dyer, J. S.; Fishburn, P. C.; Steuer, R. E.; Wallenius, J.; Zionts, S., Multiple criteria decision making, Multiattribute utility theory: The next ten years, Management Sci., 38, 5, 645-654 (1992) · Zbl 0825.90620 [6] Herrera, F.; Herrera-Viedma, E.; Verdegay, J. L., A model of consensus in group decision making under linguistic assessments, Fuzzy Sets and Systems, 78, 73-87 (1996) · Zbl 0870.90007 [7] Hsu, H. M.; Chen, C. T., Fuzzy hierarchical weight analysis model for multicriteria decision problem, J. Chinese Inst. Industrial Eng., 11, 3, 129-136 (1994) [8] Hsu, H. M.; Chen, C. T., Aggregation of fuzzy opinions under group decision making, Fuzzy Sets and Systems, 79, 279-285 (1996) [9] Hsu, H. M.; Chen, C. T., Fuzzy credibility relation method for multiple criteria decision-making problems, Inform. Sci., 96, 79-91 (1997) · Zbl 0917.90210 [10] Hwang, C. L.; Yoon, K., Multiple Attributes Decision Making Methods and Applications (1981), Springer: Springer Berlin Heidelberg [11] Kaufmann, A.; Gupta, M. M., Introduction to Fuzzy Arithmetic: Theory and Applications (1985), Van Nostrand Reinhold: Van Nostrand Reinhold New York · Zbl 0588.94023 [14] Zadeh, L. A., Fuzzy sets, Inform. and Control, 8, 338-353 (1965) · Zbl 0139.24606 [16] Zimmermann, H. J., Fuzzy Set Theory and its Applications (1991), Kluwer Academic Publishers: Kluwer Academic Publishers Boston/Dordrecht/London · Zbl 0719.04002 [17] Zwick, R.; Carlstein, E.; Budescu, D. V., Measures of similarity among fuzzy concepts: A comparative analysis, Int. J. Approximate Reasoning, 1, 221-242 (1987) This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. It attempts to reflect the references listed in the original paper as accurately as possible without claiming the completeness or perfect precision of the matching.