Paper Info
Title
Variation Measure between Fuzzy Variables Using Inverse Credibility Distributions
Abstract
Variation measure between fuzzy variables, as a type of distance-like measure, is an important topic in fuzzy theory and there are many ways to define a variation measure between fuzzy variables. This paper proposes a type of variation measure between fuzzy variables defined by inverse credibility distribution and discusses some properties of the variation measure. As an illustration, the case of variation measure between triangular fuzzy variables is examined.
Year
DOI
Venue
2007
10.1109/FSKD.2007.608
FSKD (1)
Keywords
Field
DocType
fuzzy set theory,variation mea,distance-like measure,variation measure,triangular fuzzy variable,inverse problems,inverse credibility distribution,important topic,fuzzy variable,inverse credibility distributions,credibility theory
Fuzzy classification,Fuzzy set operations,Mathematical analysis,Fuzzy mathematics,Artificial intelligence,Fuzzy number,Pattern recognition,Defuzzification,Fuzzy logic,Fuzzy measure theory,Type-2 fuzzy sets and systems,Statistics,Mathematics
Conference
Volume
ISBN
Citations 
1
978-0-7695-2874-8
0
PageRank 
References 
Authors
0.34
14
1
Name
Order
Citations
PageRank
Jin Peng1679.04