Attribute Reduction Based on the Fuzzy Information Filter Operators

Authors:
Fachao Li;Chao Gao;Chenxia Jin
Affiliations:
School of Economics and Management, Hebei University of Science and Technology, Shijiazhuang, China 050018 and School of Science, Hebei University of Science and Technology, Shijiazhuang, China 05 ...;School of Science, Hebei University of Science and Technology, Shijiazhuang, China 050018;School of Economics and Management, Hebei University of Science and Technology, Shijiazhuang, China 050018
Venue:
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence
Year:
2008

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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.