Computer Science ›› 2017, Vol. 44 ›› Issue (9): 70-73.doi: 10.11896/j.issn.1002-137X.2017.09.014

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Fuzzy Rough Sets Based on New Kernel Functions

YE Qiu-ping and ZHANG Hong-ying   

  • Online:2018-11-13 Published:2018-11-13

Abstract: Fuzzy rough sets,as a combination of fuzzy sets and rough sets,can deal with the complexity and uncertainty of data sets effectively.Fuzzy granule structures derived by fuzzy similarity relations are used to study the quantitative fuzzy rough sets.Kernel functions and fuzzy similarity relations are the key factors of machine learning and fuzzy rough sets.With the relationship between the fuzzy similarity relation and the kernel function,this paper presented a new approach to construct kernel function and gave the corresponding fuzzy rough sets.Moreover,this paper gave a comparative experimental analysis,and the results show that the new kernel function has generality.

Key words: Fuzzy rough sets,Kernel functions,Fuzzy similarity relations

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