Paper Info
Title
Evaluation function guided search for fuzzy set covering.
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.
Year
DOI
Venue
2004
10.1109/FUZZY.2004.1375546
FUZZ-IEEE
Keywords
Field
DocType
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 tree,Space technology,Information technology,Computer science,Fuzzy set operations,Concept learning,Evaluation function,Fuzzy set,Artificial intelligence,Machine learning
Conference
Volume
Citations 
PageRank 
2
4
0.50
References 
Authors
7
2
Name
Order
Citations
PageRank
Ian Cloete113216.61
Jacobus van Zyl2162.53