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

Authors:
Fatemeh Torfi;Reza Zanjirani Farahani;Shabnam Rezapour
Affiliations:
Department of Industrial Engineering, Mazandaran University of Science and Technology, Babol, Iran;Department of Industrial Engineering, Amirkabir University of Technology, Tehran, Iran and Centre for Maritime Studies, National University of Singapore, Singapore;Department of Industrial Engineering, Urmia University of Technology, Urmia, Iran
Venue:
Applied Soft Computing
Year:
2010

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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.