NDLI: Knowledge Reductions in Fuzzy Information Systems

Content Provider	IEEE Xplore Digital Library
Author	Bing Huang Xian-Zhong Zhou Xiao-Yao Jiang
Copyright Year	2006
Description	Author affiliation: Sch. of Inf. Sci., Nanjing Audit Univ. (Bing Huang)
Abstract	Knowledge reduction is one of important issues in rough sets theory. Based on rough set models and knowledge reduction definitions, researching on the corresponding reduction methods is primary approach in knowledge reductions. In symbolic information systems, knowledge reduction definitions and algorithms are in depth examined, in which researches are concentrated on discernibility matrix and functions, heuristic algorithms, incremental algorithms, etc. Information systems are named as fuzzy information systems in which all values are fuzzy. In fuzzy information systems, some basic rough set models are presented, which are called fuzzy-rough set methods. In this paper, definitions of knowledge reductions in fuzzy information systems are improved, that is, some new knowledge reductions are proposed
Sponsorship	IEEE Syst., Man and Cybernetics Hebei Univ.
Starting Page	4169
Ending Page	4172
File Size	239815
Page Count	4
File Format	PDF
ISBN	1424400619
DOI	10.1109/ICMLC.2006.258937
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-13
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy systems Information systems Fuzzy sets Rough sets Heuristic algorithms Management information systems Information analysis Fuzzy set theory Information science Knowledge engineering fuzzy information system knowledge reduction
Content Type	Text
Resource Type	Article

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