Paper Info
Title
ZSLF: A New Soft Likelihood Function Based on Z-Numbers and Its Application in Expert Decision System
Abstract
Due to the complexity of the real world, effective consideration of the ambiguity and reliability of information is a challenge that must be addressed by the correct decision of the expert system. Z-number provides us with a good idea because it describes the probability of the random variable and the possibility measure. Recently, Yager presented a soft likelihood function that effectively combines probabilistic evidence to deal with the conflict information. This article generalizes Yager's soft likelihood function based on Z-numbers and proposes a Z-numbers soft likelihood function (ZSLF) decision model. The application examples show the rationality and effectiveness of the method. The comparison and discussion further show the advantages of the ZSLF decision model.
Year
DOI
Venue
2021
10.1109/TFUZZ.2020.2997328
IEEE Transactions on Fuzzy Systems
Keywords
DocType
Volume
Decision making,expert decision system,ordered weighted average,reliability,soft likelihood function,Z-number
Journal
29
Issue
ISSN
Citations 
8
1063-6706
2
PageRank 
References 
Authors
0.36
40
4
Name
Order
Citations
PageRank
Ye Tian141836.84
Lili Liu220.36
Xiangjun Mi363.44
Bingyi Kang4203.55