Fuzzy AHP and Modified Fuzzy TOPSIS based Supplier Selection Model

Md Ashek-Al-Aziz ,Riasaad Haque Aneek ,Md Golam Hafeez Siyam

doi:10.7176/jiea/10-4-07

Md Ashek-Al-Aziz , Riasaad Haque Aneek + Show 1 more

Open Access

https://doi.org/10.7176/jiea/10-4-07

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Abstract

The methods of AHP and Fuzzy AHP provide supports for decision making process, go through normalization procedure, produce different values for decision criteria weights and finally determine decision result. Interestingly both the method produces same decision result in various cases. The model for supplier selection showed by Foriborz Jolai (2011) based on AHP with TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) is a matter of modification replacing by Fuzzy AHP and Modified Fuzzy TOPSIS methods in order to introduce ‘Fuzzification’ and ‘Defuzzification’ which is not available in existing model. The proposed model is verified with an illustrative example and comparing the results generated by both the existing and proposed model in consensus decision making. Keywords: AHP, Fuzzy, MCDM, TOPSIS, Supplier Selection DOI: 10.7176/JIEA/10-4-07 Publication date: October 30 th 2020

Highlights

Fuzzy logic is a tool used to control various processes ranging from medical diagnosis to engineering process control
We have flexibility to define the linguistics and fuzzy numerical values for the linguistics on case basis. This is suitably applied in Multi Criteria Decision Making (MCDM) by fuzzy quantification using predefined linguistics for different criteria and normalization using some particular mathematical method
The aim of this research is to incorporate Fuzzy TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method in Jolai Model for supplier selection which is based on AHP and Fuzzy AHP

Summary

Introduction

Fuzzy logic is a tool used to control various processes ranging from medical diagnosis to engineering process control. We have flexibility to define the linguistics and fuzzy numerical values for the linguistics on case basis This is suitably applied in Multi Criteria Decision Making (MCDM) by fuzzy quantification using predefined linguistics for different criteria and normalization using some particular mathematical method. If there is options available to project A and B of return possibilities rA and www.iiste.org rB respectively with the condition to the investment variation in sub sectors of sA and sB the decision for maximizing the project return considering the objective criteria can be achieved using Linear Programming.

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