Volume 7 Number 8 (Aug. 2012)
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JSW 2012 Vol.7(8): 1881-1888 ISSN: 1796-217X
doi: 10.4304/jsw.7.8.1881-1888

A New Method of Attribute Reduction Based On Information Quantity in An Incomplete System

Xu E, Yuqiang Yang, and Yongchang Ren
College of Information Technology, Bohai University, Jinzhou 121000, P.R.China

Abstract—For an incomplete information system, attribute reduction is an important problem. To dealing with it, this paper proposed a new attribute reduction method based on information quantity. On one hand, this approach improved traditional tolerance relationship calculation methods using an extension of tolerance relationship in rough set theory. On the other hand, a new method was present for calculating the core attributes based on the extensive tolerance relationship, which can get core attribute set directly. And more, the method took attribute significance as the heuristic knowledge to calculate the candidate attribute expansion. Experiment results show that the method is simple and effective.

Index Terms—attribute reduction, rough set, information quantity, an incomplete information system


Cite: Xu E, Yuqiang Yang, and Yongchang Ren, "A New Method of Attribute Reduction Based On Information Quantity in An Incomplete System," Journal of Software vol. 7, no. 8, pp. 1881-1888, 2012.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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