SPECIAL PRODUCER SELECTION PROBLEM IN FOOD INDUSTRY WITH THREE DIFFERENT TECHNIQUES WITH TRIANGULAR NUMBERS: CASE FROM TURKEY
Abstract
Cacao is a very valuable crop as a cash. Because it is a important exportation crop for producing countries and is a critical importation for consuming countries which can not produce cacao because their unsuitable climate conditions. We suggested a model for choosing the appropriate cacao producer for our chocolate firm in Turkey by applying multi-criteria decision making (MCDM) methods: Analytic hierarchy process (AHP), Analytic network process (ANP) and VIKOR based on linguistic variables under fuzzy environment in this paper. All three methods are suggested to be used in our proposed hierarchical model. Firstly, fuzzy AHP methodology is used for analyzing the 4 main criterion and 14 sub-criterion; secondly fuzzy ANP methodology is applied for representing the inter-relationships among these main criterion and the last methodology, VIKOR, is used to find out a compromise solution. The proposed model is explained by illustrative example, all comparisons and evaluations are made with triangular numbers with fuzzy sets and final results of fuzzy AHP, fuzzy ANP and VIKOR are tested for comparability.
Keywords
References
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Details
Primary Language
Turkish
Subjects
Engineering
Journal Section
Research Article
Authors
G.nilay Yücenur
BEYKENT ÜNİVERSİTESİ
Türkiye
Publication Date
December 28, 2017
Submission Date
May 27, 2017
Acceptance Date
December 19, 2017
Published in Issue
Year 2017 Volume: 10 Number: 2