Journal of Dali University ›› 2022, Vol. 7 ›› Issue (6): 22-25.

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Heuristic Algorithm for Attribute Reduction of Fuzzy Decision Table Based on Similarity Degree

  

  1. School of Statistics and Mathematics, Yunnan University of Finance and Economics, Kunming  650221, China
  • Received:2021-10-07 Revised:2021-11-19 Online:2022-06-15 Published:2022-07-04

Abstract:

Attribute reduction is the main research field of fuzzy rough sets also the first systematic application of that. However some scholars have proved that the problem of NP-hard is to find the minimum reduction. In this paper a new reduction algorithm is proposed in which the discernible matrix is first generated by the similarity degree and the relative core attributes are obtained by the discernible matrix then the heuristic algorithm based on the core attributes to generate the minimum reduction is presented. Finally an example is given to illustrate the effectiveness of the method.

Key words: fuzzy rough sets, attribute reduction, similarity degree, discernible matrix

CLC Number: