Paper Info
Title
Resolving the Conflict between Competitive and Cooperative Behavior in Michigan-Type Fuzzy Classifier Systems
Abstract
Abstract A vital problem,for fuzzy classifier systems of the Michigan type is the conflict of competition and co- operation of rules. Whereas the classical approach of a classifier system circumvents this complicacy by the total lack of collaboration of classifiers, the fuzzifica- tion approach has to deal with it. This paper proposes a solution to this dilemma,by introducing a special en- coding of the classifiers and by performing a selection algorithm on a sub-group of firing rules. Keywords: fuzzy classifier systems, fuzzy systems,
Year
Venue
Keywords
2005
EUSFLAT Conf.
fuzzy system
Field
DocType
Citations 
Computer science,Cooperative behavior,Selection algorithm,Fuzzy set,Artificial intelligence,Dilemma,Fuzzy classifier,Margin classifier,Classifier (linguistics),Machine learning,Encoding (memory)
Conference
0
PageRank 
References 
Authors
0.34
4
2
Name
Order
Citations
PageRank
Peter Haslinger1132.15
Ulrich Bodenhofer270568.02