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Background/Objectives: Supplier Selection Problem (SSP) has become critical issue for purchasing department because of its significant effect toward successful logistic and Supply Chain Management (SCM). Due to the fact that various conflicted criteria must be considered, SSP is inherently Multiple Criteria Decision Making (MCDM) problem. Methods/Statistical Analysis: The aim of this paper is to solve SSP under group decision making and fuzzy environment. To do so, as main contribution of this paper, a hybrid approach which employs both Fuzzy Rule Based System (FRBS) and Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE), is proposed to select suitable supplier. Findings: One advantage of MCDM techniques is providing Decision Maker's (DM) preferences and utilities. To do so, we have modeled DM's utilities using fuzzy logic and then implemented in PROMETHEE method. Improvement/Application: Ultimately, numerical illustration and sensitivity analyses are performed to demonstrate the applicability of the proposed method for a supplier selection problem.

Keywords

Fuzzy Rule based Systems, MADM, PROMETHEE, Supplier Selection Problem
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