Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/51028
Title: A Fuzzy Best Worst Method Based Prioritization of Solar Panel Selection Criteria
Authors: Arman, K.
Kundakcı, N.
Keywords: Fuzzy Best Worst Method
Fuzzy Multi-Criteria Decision Making
Solar Panel Selection Criteria
Publisher: Springer Nature
Abstract: Solar energy is a renewable energy source and is known as one of the primary clean energy sources all over the world. One of the most important decisions to be taken to make optimum use of solar energy is the selection of the best solar panel. Both quantitative and qualitative criteria affect the best solar panel selection. For this reason, this problem can be considered as a Multi-Criteria Decision Making (MCDM) problem. The aim of this study is to the prioritization of solar panel selection criteria using Fuzzy Best Worst Method (F-BWM). The contributions of this study are to propose a set of criteria for solar panel selection and to present a new application area for F-BWM. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.
URI: https://doi.org/10.1007/978-3-031-24816-0_9
ISSN: 2731-040X
Appears in Collections:İktisadi ve İdari Bilimler Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Show full item record



CORE Recommender

SCOPUSTM   
Citations

3
checked on Mar 3, 2025

WEB OF SCIENCETM
Citations

2
checked on Mar 4, 2025

Page view(s)

338
checked on Feb 8, 2025

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.