Original scientific paper

Attribute reduction algorithm based on cognitive model of granular computing in inconsistent decision information systems

Xiao Tang ; School of Mathematical Sciences, University of Electronic Science and Technology of China, Qingshuihe Campus of UESTC, No. 2006, Xiyuan Avenue, West Hi-tech Zone, Chengdu, 611731 Sichuan, P. R. China
Lan Shu ; School of Mathematical Sciences, University of Electronic Science and Technology of China, Qingshuihe Campus of UESTC, No. 2006, Xiyuan Avenue, West Hi-tech Zone, Chengdu, 611731 Sichuan, P. R. China

Abstract

This article aims to explore a new method of attribute reduction in inconsistent decision information systems. By analyzing the connection of attribute reduction theory and cognitive science, an attribute reduction algorithm based on cognitive model of granular computing is proposed in this paper. Algorithm analysis and numerical experiment show the validity of the proposed attribute reductions algorithm. The method can be applied to both consistent and inconsistent information systems. The proposed model also provides a new model and thinking to study the connection of human’s cognition and notion. It is useful to the development of cognitive model.

Keywords

attribute reduction; cognitive model; granular computing; inconsistent decision table

Hrčak ID:

116574

URI

https://hrcak.srce.hr/116574

Publication date:

21.2.2014.

Article data in other languages: croatian

Visits: 1.987 *