Paper Info
Title
Rough Fuzzy Concept Analysis.
Abstract
We provide a new approach to fusion of Fuzzy Formal Concept Analysis and Rough Set Theory. As a starting point we take into account a couple of fuzzy relations, one of them represents the lower approximation, while the other one the upper approximation of a given data table. By defining appropriate concept-forming operators we transfer the roughness of the input data table to the roughness of corresponding formal fuzzy concepts in the sense that a formal fuzzy concept is considered as a collection of objects accompanied with two fuzzy sets of attributes-those which are shared by all the objects and those which at least one object has. In the paper we study the properties of such formal concepts and show their relationship with concepts formed by well-known isotone and antitone operators.
Year
DOI
Venue
2017
10.3233/FI-2017-1601
FUNDAMENTA INFORMATICAE
Keywords
Field
DocType
antitone concept-forming operator,concept lattice,formal concept analysis,Galois connection,isotone concept-forming operator,rough set,truth-depressing hedge,truth-stressing hedge
Fuzzy concept,Discrete mathematics,Fuzzy classification,Fuzzy set operations,Artificial intelligence,Mathematics
Journal
Volume
Issue
ISSN
156
2
0169-2968
Citations 
PageRank 
References 
1
0.35
0
Authors
2
Name
Order
Citations
PageRank
Eduard Bartl1488.01
Jan Konecny211517.20