Group decision making using Fuzzy TOPSIS
(2007) Journal of operational research and its applications — Vol. 4, n° 13, p. 21-34 (2007)
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- Abstract
- Today, in the real world, many quantitative and qualitative factors like the quality, price, flexibility and efficiency of the delivery process should be considered in decision making problems. Therefore, linguistic variables can be expressed in trapezoidal or triangular fuzzy numbers are used to assess the rating of each alternative and the weight of each criterion. Hence, the aim of this paper is to extend the TOPSIS method to decision-making problems with fuzzy data to find appropriate alternative under vague and ambiguous environment with team of decision making. According to the concept of the TOPSIS method in group multiple criteria decision making (GMCDM) problem, an index of closeness coefficient is defined to determine the ranking order of all alternatives by calculating the distance to the both fuzzy ideal solution and fuzzy anti-ideal solution based on approach of ranking of the fuzzy numbers simultaneously. Finally, an example is given to highlight the procedure of the proposed method.
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Saati, S., Hatami-Marbini, A., & Makui, A. (2007). Group decision making using Fuzzy TOPSIS. Journal of operational research and its applications, 4(13), 21-34. https://hdl.handle.net/2078.5/249127 (Original work published 2007)