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  A Development of Inclusion-degree-based Rough Fuzzy Random Sets
 
 
Title: A Development of Inclusion-degree-based Rough Fuzzy Random Sets
Author: Ha, Minghu
Pedrycz, Witold
Zhang, Aiquan
Fan, Yijun
Appeared in: Fundamenta informaticae
Paging: Volume 86 (2008) nr. 4 pages 481-502
Year: 2008-12-16
Contents: Given a widespread interest in rough sets as being applied to various tasks of data analysis, it is not surprising at all that we have witnessed a wave of further generalizations and algorithmic enhancements of this original concept. In this study, we investigate an idea of rough fuzzy random sets. This construct provides us with a certain generalization of rough sets by introducing the concept of inclusion degree. The underlying objective behind this development is to address the problems which involve co-existing factors of fuzziness and randomness thus giving rise to a notion of the fuzzy random approximation space based on inclusion degree. Some essential properties of rough approximation operators of such rough fuzzy random sets are discussed. Further theoretical foundations for the formation of rules constructed on a basis of available decision tables are offered as well.
Publisher: IOS Press
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

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