Paper Info
Title
Attribute Reduction Based on the Fuzzy Information Filter Operators
Abstract
Fuzzy set theory and rough set theory are effective tools for dealing with incomplete and inaccurate knowledge of information systems. In this paper, for the difference of fuzzy equivalence relation matrix of the attributes in information system, by analyzing the shortcomings of the existing methods, we propose the axiomatic system of fuzzy information filter operators, and give several operational filter operators models, spell out an attribute reduction method based on fuzzy information filter operators (denoted by FIFO-RED for short); Finally, we analyze the characteristics and performance of FIFO-RED by a concrete example. And the results indicate that FIFO-RED can more effectively merge decision consciousness into information processing than FIE-RED, it has strong application value.
Year
DOI
Venue
2008
10.1007/978-3-540-85984-0_45
ICIC (2)
Keywords
DocType
Volume
attribute reduction,fuzzy set theory,information processing,attribute reduction method,rough set theory,information system,fuzzy information filter operator,axiomatic system,operational filter operators model,concrete example,fuzzy equivalence relation matrix,fuzzy information filter operators,information entropy
Conference
5227
ISSN
Citations 
PageRank 
0302-9743
0
0.34
References 
Authors
7
3
Name
Order
Citations
PageRank
Fachao Li115722.30
Chao Gao211819.64
Chenxia Jin310113.20