An integrated approach for solving a MCDM problem, Combination of Entropy Fuzzy and F-PROMETHEE techniques
Abstract: The intention of
this paper is the presentation of a new integrated approach for solving a multi
attribute decision making problem by the use of Entropy Fuzzy and F- PROMETHEE
(fuzzy preference ranking method for enrichment evaluation) techniques.
Design/methodology/approach: In these sorts of multi attribute decision
making problem, a number of criteria and alternatives are put forward as input
data. Ranking of these alternatives according to mentioned criteria is regarded
as the outcome of solving these kinds of problems. Initially, weights of
criteria are determined by implementation of Entropy Fuzzy method. According to
determined weights, F-PROMETHEE method is exerted to rank these alternatives in
terms of desirability of DM (decision maker).
Findings: Being in an uncertain environment and vagueness of DM’s
judgments, lead us to implement an algorithm which can deal with these
constraints properly. This technique namely called Entropy Fuzzy as a weighting
method and F-PROMETHEE is performed to fulfill this approach more precisely
according to tangible and intangible aspects. The main finding of applied
approach is the final ranking of alternatives helping DM to have a more
reliable decision.
Originality/Value: The main contribution of this approach is the giving
real significance to DM’s attitudes about mentioned criteria in determined
alternatives which is not elucidate in former approaches like Analytical Hierarchy
Process (AHP). Furthermore, previous methods like Shanon Entropy do not pay
attention sufficiently to satisfaction degree of each criterion in proposed
alternatives, regarding to DM’s statements. Comprehensive explanations about
these procedures have been made in miscellaneous sections of this article.
Keywords: Entropy Fuzzy,
F-PROMETHEE, Multi Criteria Decision Making, Fuzzy Set, Decision maker, Fuzzy
environment
Author: Amin Shahmardan,
Mohammad Hendijani Zadeh
Journal Code: jptindustrigg130098
