A novel spherical fuzzy analytic hierarchy process and its renewable energy application

Fatma Kutlu Gündoğdu; Cengiz Kahraman

doi:10.1007/s00500-019-04222-w

A novel spherical fuzzy analytic hierarchy process and its renewable energy application

Fatma Kutlu Gündoğdu, Cengiz Kahraman^*

^*Corresponding author for this work

Department of Industrial Engineering

Research output: Contribution to journal › Article › peer-review

336 Citations (Scopus)

Abstract

The extensions of ordinary fuzzy sets such as intuitionistic fuzzy sets, Pythagorean fuzzy sets, and neutrosophic sets, whose membership functions are based on three dimensions, aim at collecting experts’ judgments more informatively and explicitly. In the literature, generalized three-dimensional spherical fuzzy sets have been introduced by Kutlu Gündoğdu and Kahraman (J Intell Fuzzy Syst 36(1):337–352, 2019a), including their arithmetic operations, aggregation operators, and defuzzification operations. In this paper, our aim is to extend classical analytic hierarchy process (AHP) to spherical fuzzy AHP (SF-AHP) method and to show its applicability and validity through a renewable energy location selection example and a comparative analysis between neutrosophic AHP and SF-AHP.

Original language	English
Pages (from-to)	4607-4621
Number of pages	15
Journal	Soft Computing
Volume	24
Issue number	6
DOIs	https://doi.org/10.1007/s00500-019-04222-w
Publication status	Published - 1 Mar 2020

Bibliographical note

Publisher Copyright:
© 2019, Springer-Verlag GmbH Germany, part of Springer Nature.

Keywords

AHP
Multi-criteria decision making
Neutrosophic AHP
Spherical fuzzy sets

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/s00500-019-04222-w

Cite this

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A novel spherical fuzzy analytic hierarchy process and its renewable energy application

Abstract

Bibliographical note

Keywords

UN SDGs

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