An alternative approach based on Fuzzy PROMETHEE method for the supplier selection problem

Abstract

In this paper, an alternative version of the fuzzy PROMETHEE (Preference Ranking Organization Method for Enrichment Evaluations) method is proposed. Differently from other studies, preference functions used in PROMETHEE method are handled in terms of fuzzy distances between alternatives with respect to each criterion. In order to indicate the applicability of this method, it is applied for a supplier selection problem in the literature. Ranking results are similar obtained by TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) and fuzzy ELECTRE (ELimination Et Choix Traduisant la REalité) methods. The implementation of the proposed method indicates that the amount of computations is decreased and decision makers can easily reach to desirable solution.

Sustainable Afforestation Strategies: Hybrid Multi-Criteria Decision-Making Model in Post-Mining Rehabilitation

“…SWARA has been successfully applied to the solution of many MCDM problems. SWARA is used in various fields due to its suitability for experts to work together and its simple application [61][62][63][76][77][78][79][80][81]. For this reason, SWARA is also defined as an expertoriented method in the literature [81].…”

Avaliação de fornecedores de insumos para a construção de edifícios com enfoque multicritério

“…Diante dos métodos de apoio à decisão, o PROMETHEE -Preference Ranking Method for Enrichment Evaluation -é capaz de incorporar a preferência do decisor por meio de uma função de preferência. O PROMETHEE, introduzido na década de 1980, tem a finalidade de fornecer uma solução conforme um grupo discreto de alternativas (Adalı, Işık, & Kundakcı, 2016).…”

Selecting the Optimal Green Agricultural Products Supplier: A Novel Approach Based on GBWM and PROMETHEE II

“…The framework can be divided into two steps, including utilizing the LBA operator to directly aggregate experts' preference scores, as well as using the PROMETHEE with IFS information to rank the available suppliers. In addition, Esra et al [30] provided us with a fuzzy PROMETHEE technique to deal with supplier selection, the predefined preference functions of which were handled based on fuzzy distances between feasible alternatives. In addition, TOPSIS method was utilized to select the most satisfied supplier firm under probabilistic linguistic context [18].…”