A multiple criteria approach to the location-allocation problem
Computers and Industrial Engineering
A decision support system for locating convenience store through fuzzy AHP
Computers and Industrial Engineering
A fuzzy approach to select the location of the distribution center
Fuzzy Sets and Systems
Facility location selection using fuzzy topsis under group decisions
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Fuzzy group decision-making for facility location selection
Information Sciences—Informatics and Computer Science: An International Journal
Survey: Facility location dynamics: An overview of classifications and applications
Computers and Industrial Engineering
A fuzzy rule-based approach for screening international distribution centres
Computers & Mathematics with Applications
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The selection of a facility location from alternative locations is a multiple criteria decision making (MCDM) problem including both quantitative and qualitative criteria. In many real-life cases, determining the exact values for MCDM problems, and especially for facility location selection problems, is difficult or impossible, so the values of alternatives with respect to the criteria or/and the values of criteria weights are considered as fuzzy values (fuzzy numbers) such that the conventional crisp approaches for solving facility location selection problems and other MCDM problems tend to be less effective for dealing with the imprecise or vagueness nature of the linguistic assessments. In such conditions, fuzzy MCDM methods are applied for facility location selection problem and other fuzzy MCDM problems. In this paper, we propose a new fuzzy weighted average (FWA) method based on left and right scores for fuzzy MCDM problems. Moreover, we apply the proposed method to a real application. As a result, we found that the proposed method is practical for facility location selection problems. Besides, it seems that the proposed FWA method is very accurate, flexible, simple, and easy to use when compared to other versions of the FWA method.