Fuzzy AHP to determine the relative weights of evaluation criteria and Fuzzy TOPSIS to rank the alternatives Article

Torfi, F, Farahani, RZ, Rezapour, S. (2010). Fuzzy AHP to determine the relative weights of evaluation criteria and Fuzzy TOPSIS to rank the alternatives . APPLIED SOFT COMPUTING, 10(2), 520-528. 10.1016/j.asoc.2009.08.021

cited authors

  • Torfi, F; Farahani, RZ; Rezapour, S

authors

abstract

  • The aim of this study is to propose a Fuzzy multi-criteria decision-making approach (FMCDM) to evaluate the alternative options in respect to the user's preference orders. Two FMCDM methods are proposed for solving the MCDM problem: Fuzzy Analytic Hierarchy Process (FAHP) is applied to determine the relative weights of the evaluation criteria and the extension of the Fuzzy Technique for Order Preference by Similarity to Ideal Solution (FTOPSIS) is applied to rank the alternatives. Empirical results show that the proposed methods are viable approaches in solving the problem. When the performance ratings are vague and imprecise, this Fuzzy MCDM is a preferred solution. © 2009 Elsevier B.V. All rights reserved.

publication date

  • March 1, 2010

published in

Digital Object Identifier (DOI)

start page

  • 520

end page

  • 528

volume

  • 10

issue

  • 2