The Importance of The Place of Defuzzification Step In Fuzzy Systems

Year 2019, , 139 - 148, 01.04.2019

Yakup Çelikbilek

https://doi.org/10.16984/saufenbilder.421856

Cited By: 1

Abstract

Fuzzy logic and fuzzy based techniques are
applied constantly in both social sciences and engineering sciences for fuzzy
systems. However, theoretical content is neglected occasionally in these
developed methods. Even sometimes, propositions and applications are developed
by using fuzzy numbers ignoring theoretical contents. In some cases, there are
lots of different fuzzy solution propositions of same crisp method. Because of
these, despite applying similar methods to same data set, very different
results can be obtained. Fuzzy multi criteria decision making method
propositions are evaluated by using simulation technique in this study to
explore and compare the results of fuzzy applications. Simulation applications
are applied to AHP, TOPSIS, VIKOR and MOORA methods which are the most common
multi criteria decision making methods as both crisp and fuzzy in the
literature. Obtained results are evaluated and interpreted for both selection
of the best alternative and ranking of all alternatives.

Keywords

Fuzzy systems, fuzzy numbers, defuzzification, multi criteria decision making, simulation

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