Multi-criteria and multi-expert wind power farm location selection using a pythagorean fuzzy analytic hierarchy process

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Abstract

This study focuses on the evaluation and selection of wind power farm locations. We propose a systematic approach using Fuzzy Analytic Hierarchy Process (AHP) based on interval-valued Pythagorean fuzzy sets to consider uncertainties and lack of information in the decision-making environment of real-life applications. The approach enables better representation of membership and non-membership functions. The study fills the gap in the literature by proposing the application of a Pythagorean Fuzzy AHP method. We test the proposed method with a real-life problem in Turkey based on the judgements of three experts/decision-makers, and compare the results with interval-valued Type-2 AHP method.

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Otay, I., & Jaller, M. (2020). Multi-criteria and multi-expert wind power farm location selection using a pythagorean fuzzy analytic hierarchy process. In Advances in Intelligent Systems and Computing (Vol. 1029, pp. 905–914). Springer Verlag. https://doi.org/10.1007/978-3-030-23756-1_108

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