DocumentCode :
2247925
Title :
Evaluation function guided search for fuzzy set covering
Author :
Cloete, Ian ; Van Zyl, Jacobus
Author_Institution :
Sch. of Inf. Technol., Int. Univ. in Germany, Bruchsal, Germany
Volume :
2
fYear :
2004
fDate :
25-29 July 2004
Firstpage :
1007
Abstract :
Fuzzy set covering was introduced as an extended counterpart of crisp machine learning methods using a separate-and-conquer approach to concept learning. This approach follows a general-to-specific search through a space of partially ordered conjunctive descriptions. The search path followed depends to a large extent on the evaluation function used. This paper investigates the effect of the evaluation function on the quality of induced rules and the number of conjunctions examined.
Keywords :
divide and conquer methods; function evaluation; fuzzy set theory; learning (artificial intelligence); search problems; concept learning; evaluation function; fuzzy set covering; guided search path; machine learning methods; partially ordered conjunctive descriptions; Decision trees; Electronic mail; Fuzzy neural networks; Fuzzy sets; Information technology; Jacobian matrices; Learning systems; Machine learning; Machine learning algorithms; Space technology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems, 2004. Proceedings. 2004 IEEE International Conference on
ISSN :
1098-7584
Print_ISBN :
0-7803-8353-2
Type :
conf
DOI :
10.1109/FUZZY.2004.1375546
Filename :
1375546
Link To Document :
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