1.College of Computer Science and Technology，Anhui University，Hefei，230601，China； 2.Key Laboratory of Intelligent Computing & Signal Processing，Ministry of Education，Anhui University，Hefei，230601，China
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Published
2017-09-25
Issue Date
2017-09-25
Abstract
The neighborhood rough set and the fuzzy rough set are the two kind of important models for processing numeric data in rough set theory.In the numerical information system，combining with the superiority of the neighborhood rough set and the fuzzy rough set in terms of uncertainty measurement.The model of fuzzy neighborhood rough set is firstly introduced in this paper，and the conception of fuzzy neighborhood roughness is defined on the model of fuzzy neighborhood rough set.The fuzzy neighborhood roughness measures the uncertainty of information system through the boundary region of rough set，which is aimed to obtain more comprehensive measurement effect.And then，the fuzzy neighborhood granular structure is defined on the model of the fuzzy neighborhood rough set，and the concept of fuzzy neighborhood granularity is proposed based on the fuzzy neighborhood granular structure，and the fuzzy neighborhood granularity is a measure of the classification capacity for information system.At last，the method of hybrid uncertainty measurement based on fuzzy neighborhood rough set is proposed through combining two measurement methods，and which is theoretically proved effective.Experimental results show that the proposed method of hybrid measurement integrates the advantages of the two separate measurement methods，which has better effect of measurement.Therefore，the proposed method of uncertainty measurement has more certain superiority in this paper.
Xu Feng1，2，Yao Sheng1，2*，Ji Xia1，2，Zhao Peng1，2，Wang Jie1，2.
Uncertainty measurement method for information system based on fuzzy neighborhood rough set[J]. Journal of Nanjing University(Natural Sciences), 2017, 53(5): 926
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