Cacao is a very valuable crop as cash. Because cacao is an important exportation crop for countries where it is produced and it is a critical importation product for countries which cannot produce cacao because of their unsuitable climate conditions but consuming it. We suggested a model for choosing the appropriate cacao producer for our chocolate firm in Turkey by applying multicriteria 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 criterions and 14 sub-criterions; secondly fuzzy ANP methodology is applied for representing the interrelationships among these main criterions 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.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.