Open Access
2013 Attribute Reduction in Intuitionistic Fuzzy Concept Lattices
Jinzhong Pang, Xiaoyan Zhang, Weihua Xu
Abstr. Appl. Anal. 2013: 1-12 (2013). DOI: 10.1155/2013/271398


As an effective tool for knowledge discovery, concept lattice has been successfully applied to various fields. And one of the key problems of knowledge discovery is attribute reduction. In order to understand the problems better, the attribute reduction is necessary to perfect the theory as well as expand application of concept lattice. This paper introduces the intuitionistic fuzzy theory into the concept lattice theory and proposes a kind of intuitionistic fuzzy concept lattice. Then, an approach to attribute reduction based on the discernibility matrix is proposed and investigated, which makes the discovery of implicit knowledge easier and the representation simpler in data; furthermore, the theory of concept lattice is perfected. The theory of intuitionistic fuzzy concept lattice is useful and meaningful in view of the complexity and fuzziness of information in real world, and the potential value of dealing with information is expected in the future.


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Jinzhong Pang. Xiaoyan Zhang. Weihua Xu. "Attribute Reduction in Intuitionistic Fuzzy Concept Lattices." Abstr. Appl. Anal. 2013 1 - 12, 2013.


Published: 2013
First available in Project Euclid: 27 February 2014

zbMATH: 1359.68271
MathSciNet: MR3121494
Digital Object Identifier: 10.1155/2013/271398

Rights: Copyright © 2013 Hindawi

Vol.2013 • 2013
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