Paper Info
Title
An Improved Algorithm for Dynamic Cognitive Extraction Based on Fuzzy Rough Set
Abstract
Modern science is increasingly data-driven and collaborative in nature. Comparing to ordinary data processing, big data processing that is mixed with great missing date must be processed rapidly. The Rough Set was generated to deal with the large data.In this paper, we proposed animproved algorithm for dynamic Cognitive extractionwhich deals with adaptive fuzzy attribute values and the fuzzy attribute reduction aiming at uncertainty datasuch asdata with diversity or missing character faced by the big data with using Fuzzy Rough Set Theory.At the aspect of information decision, according to the Real-time input information, it deep analyzes the dynamic information entropy of the data itself and chooses the biggest prediction information entropy direction for the cognitive rules to achieve rapid recognitive of data, complete information of quick decision.Because the algorithm is adopted to predict the best direction of information entropy, so the recognitive effect is also improved. At the end of the paper, we have analyzed superiority of the dynamic cognitive algorithm by using breast cancer data as the foundation.
Year
DOI
Venue
2013
10.1109/DASC.2013.106
DASC
Keywords
Field
DocType
rough set theory,fuzzy set theory,fuzzy rough set,cognitive extraction,big data processing,adaptive fuzzy attribute values,dynamic cognitive extraction,rapid decision,data diversity,fcm,recognitive,prediction information entropy direction,big data,breast cancer data,dynamic cognitive algorithm,information decision,dynamic information entropy,fuzzy attribute reduction
Data mining,Fuzzy classification,Fuzzy set operations,Computer science,Artificial intelligence,Fuzzy number,Dominance-based rough set approach,Fuzzy logic,Fuzzy cognitive map,Algorithm,Rough set,Type-2 fuzzy sets and systems,Machine learning
Conference
ISBN
Citations 
PageRank 
978-1-4799-3380-8
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Haitao Jia102.03
Mei Xie200.68
Qian Tang341.06
Wei Zhang426028.92