Building cognizance rule knowledge for fault diagnosis based on fuzzy rough sets1-Reference-Cited by-同舟云学术

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Building cognizance rule knowledge for fault diagnosis based on fuzzy rough sets1

Published:2015-11-16 Issue:6 Volume:29 Page:2327-2333
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

He Xi-Xu¹²³,Chen Lei-ting¹⁴³,Jia Hai-tao¹

Affiliation:

1. School of Computer Science and Engineering, University of Electronic Science and Technology of China, Sichuan, China

2. Center of Information, University of Electronic Science and Technology of China Chengdu, Sichuan, China

3. Provincial Key Laboratory of Digital Media Chengdu, Sichuan, China

4. Dongguan Institute of Information Engineering, University of Electronic Science and Technology of China, Sichuan, China

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference29 articles.

1. Advances in diagnostic techniques for induction machines;Bellini;IEEE Trans Ind Electron,2008

2. Knowledge acquisition based on rough set theory and principal component analysis;Zeng;IEEE Intelligent Systems,2006

3. Vaguely quantified rough sets;Cornelis;Proc Rough Sets, Fuzzy Sets, Data Mining Granular Compute (Lecture Notes in Artificial Intelligence),2007

4. Type-2 fuzzy rough sets based on extended t-norms;Wang;Information Sciences,2015

5. On the generalization of fuzzy rough sets;Yeung;IEEE Trans Fuzzy Syst,2005

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