Computer Science ›› 2013, Vol. 40 ›› Issue (7): 173-177.

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Incremental Approach for Updating Approximations of Gaussian Kernelized Fuzzy Rough Sets under Variation of Object Set

ZENG An-ping,LI Tian-rui and LUO Chuan   

  • Online:2018-11-16 Published:2018-11-16

Abstract: In real-applications,there are many kinds of data in information systems.The data may consist of categorical,numerical,fuzzy values.Fuzzy rough set model can deal with this complex data.Gaussian kernels have been introduced to acquire fuzzy relations between samples described by fuzzy or numeric attributes to carry out fuzzy rough data analysis.In addition,the information systems often vary with time.How to use the previous knowledge to update approximations in fuzzy rough set model is a key step of its application on big data.This paper discussed the principles of updating approximations in fuzzy information systems under the variation of the object set.An approach for incrementally updating approximations of fuzzy rough set was then presented.Some examples were employed to illustrate the proposed approach.

Key words: Fuzzy rough set,Incremental updating,Gaussian kernel

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