Methods for Lower Approximation Reduction in Inconsistent Decision Table Based on Tolerance Relation - Applied Mathematics

AM > Vol.4 No.1, January 2013

Methods for Lower Approximation Reduction in Inconsistent Decision Table Based on Tolerance Relation ()

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DOI: 10.4236/am.2013.41024 4,641 Downloads 6,314 Views Citations

Author(s)

Xiaoyan Zhang, Weihua Xu

Affiliation(s)

School of Mathematics and Statistics, Chongqing University of Technology, Chongqing, China.

ABSTRACT

It is well known that most of information systems are based on tolerance relation instead of the classical equivalence relation because of various factors in real-world. To acquire brief decision rules from the information systems, lower approximation reduction is needed. In this paper, the lower approximation reduction is proposed in inconsistent information systems based on tolerance relation. Moreover, the properties are discussed. Furthermore, judgment theorem and discernibility matrix are obtained, from which an approach to lower reductions can be provided in the complicated information systems.

KEYWORDS

Rough Set; Tolerance Relation; Lower Approximation Reduction; Discernibility Matrix

Share and Cite:

X. Zhang and W. Xu, "Methods for Lower Approximation Reduction in Inconsistent Decision Table Based on Tolerance Relation," Applied Mathematics, Vol. 4 No. 1, 2013, pp. 144-148. doi: 10.4236/am.2013.41024.

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