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Decision support system to select supplier using fuzzy-logic


Article Information

Title: Decision support system to select supplier using fuzzy-logic

Authors: Mouna El mkhalet, Aziz Soulhi, Rabiae Saidi

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2020

Volume: 15

Issue: 19

Language: English

Categories

Abstract

The purpose of this research that we have conducted through this present work is to select the best supplier according to each situation in order to deal with the problem of ambiguity and uncertainty by applying the fuzzy logic approach in industry of manufacturing of dangerous products in Casablanca in Morocco. First, we introduce the theory of fuzzy logic, the structure of the fuzzy logic inference system, and then we do a literature review of the Fuzzy-logic approach. Second, we do the fuzzification for the three criteria chosen in our study: storage-condition, transport-condition, regulation compliance and also for the supplier, furthermore, we construct fuzzy-rule and then we do defuzzification: We obtain diagrams which explain to us according to different situation the best supplier to choose. Finally, the finding of this work shows how to select the best supplier according to the existing cases and the advantages of applying the fuzzy logic for this study.


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