Title
Belief functions on general intuitionistic fuzzy information systems.
Abstract
This paper studies probability problems of intuitionistic fuzzy sets and the belief structure of general intuitionistic fuzzy information systems. First, for some special intuitionistic fuzzy sets, a probability is defined by using the integral operations on the level sets, and its properties are discussed. Then using this probability, a mass function of an intuitionistic fuzzy information system is constructed. A novel pair of belief and plausibility functions are defined by employing the (I,T) intuitionistic fuzzy lower and upper approximation operators. Finally, an example in decision analysis is employed to illustrate the application of the new belief and plausibility functions.
Year
DOI
Venue
2014
10.1016/j.ins.2014.02.120
Information Sciences
Keywords
DocType
Volume
Belief function,(I,T) intuitionistic fuzzy approximation operator,Mass function,Plausibility function,Probability
Journal
271
ISSN
Citations 
PageRank 
0020-0255
5
0.53
References 
Authors
28
3
Name
Order
Citations
PageRank
Tao Feng128233.77
Ju-Sheng Mi2205477.81
Shaopu Zhang3654.36