Weight Determination Methods in Fuzzy Environment
Küçük Resim Yok
Tarih
2023
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer Science and Business Media Deutschland GmbH
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
This chapter focuses on the determination of fuzzy weights in multi-criteria decision making (MCDM). Various methods for fuzzy weight determination are explored, with a particular emphasis on the fuzzy least square error method and the fuzzy BWM (Best Worst Method). The chapter presents theoretical explanations of these methods and provides practical examples to illustrate their application. Through the examination of these methods and their solutions, readers gain insights into the process of assigning weights to criteria in MCDM problems, considering the inherent uncertainty and imprecision in decision-making situations. The chapter aims to enhance readers’ understanding of fuzzy weight determination methods and their potential applicability in real-world decision-making scenarios. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.
Açıklama
Anahtar Kelimeler
Kaynak
Studies in Computational Intelligence
WoS Q Değeri
Scopus Q Değeri
N/A
Cilt
1121
