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: Kahraman, C., Cebi, S., Cevik Onar, S., Oztaysi, B., Tolga, A., Sari, I. (eds) Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making. INFUS 2019. Advances in Intelligent Systems and Computing, vol 1029. Springer, Cham. https://doi.org/10.1007/978-3-030-23756-1_108
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DOI: https://doi.org/10.1007/978-3-030-23756-1_108
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