Title
Uncertainty and reduction of variable precision multigranulation fuzzy rough sets based on three-way decisions.
Abstract
This paper studies reduction of a multigranulation fuzzy information system by using uncertainty measures based on variable precision multigranulation decision-theoretic fuzzy rough sets, avoiding the positive region and negative region changing to small ones. Firstly we review variable precision multigranulation fuzzy rough sets and the decision method based on three-way decisions. Then, a double parameter rough membership degree of a fuzzy set is constructed based on variable precision multigranulation decision-theoretic fuzzy rough sets. A double parameter uncertainty measure of a multigranulation decision system is also proposed. In order to keep the decision-makings of certain elements, which are in the positive region or negative region, unchanged, we use the double parameter uncertainty measure of a multigranulation decision system to reduce the consistent decision system. Finally, we propose a conditional uncertainty measure and discuss the decision-theoretic reduction of granulation set and conditional attribute set in inconsistent views. A double parameter rough membership degree is constructed based on variable precision multigranulation decision-theoretic fuzzy rough sets.We propose a double parameter uncertainty measure of a multigranulation decision system.We propose a conditional uncertainty measure, then discuss the decision-theoretic reduction in inconsistent views.
Year
DOI
Venue
2017
10.1016/j.ijar.2017.03.002
Int. J. Approx. Reasoning
Keywords
Field
DocType
Variable precision multigranulation fuzzy rough sets,Rough membership degree,Uncertainty,Reduction
Information system,Discrete mathematics,Data mining,Variable precision,Fuzzy logic,Decision system,Fuzzy set,Fuzzy rough sets,Decision model,Mathematics
Journal
Volume
Issue
ISSN
85
C
0888-613X
Citations 
PageRank 
References 
17
0.50
37
Authors
3
Name
Order
Citations
PageRank
Tao Feng128233.77
Hui-Tao Fan2170.50
Ju-Sheng Mi3205477.81