On the WABL defuzzification method for intuitionistic fuzzy numbers
Küçük Resim Yok
Tarih
2020
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer Verlag
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Intuitionistic fuzzy sets (IFSs) have been proposed by Atanassov as an extension of classical fuzzy sets (FSs) originated from an early work of Zadeh. The main advantage of the IFSs is their property to deal with the uncertainty that may be included by information. IFSs have two types of functions: membership function which is also employed to describe the conventional FSs and non-membership function. With these two functions, IFSs better describe the real status of the information. IFSs especially Intuitionistic Fuzzy Numbers (IFNs) have found application in various areas such as edge detection, image segmentation, decision making, fault-tree analysis, pattern recognition etc. Most of the applications of these areas are performed in digitalized environments. But, still our computers are designed to work with crisp numbers. That means we are still in need of well-defined defuzzification methods for IFNs. In this study, we adopted WABL (Weighted Averaging Based on Levels) defuzzification method into IFNs. We exposed some useful properties of WABL method in order to make its usage easier in application fields. © 2020, Springer Nature Switzerland AG.
Açıklama
International Conference on Intelligent and Fuzzy Systems, INFUS 2019 -- 23 July 2019 through 25 July 2019 -- 228529
Anahtar Kelimeler
Defuzzification method, Intuitionistic Fuzzy Numbers, Weighted Averaging Based on Levels
Kaynak
Advances in Intelligent Systems and Computing
WoS Q Değeri
Scopus Q Değeri
N/A
Cilt
1029
