DocumentCode
2445212
Title
ClaDia: a fuzzy classifier system for disease diagnosis
Author
Walter, David ; Mohan, Chilukuri K.
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., Syracuse Univ., NY, USA
Volume
2
fYear
2000
fDate
2000
Firstpage
1429
Abstract
The paper describes ClaDia, a learning classifier system applied to the Wisconsin breast cancer data set, using a fuzzy representation of the rules, a median based fuzzy combination rule, and separate subpopulations for each class. The system achieves a classification rate of over 90%, for many sets of system parameter values
Keywords
cancer; diagnostic expert systems; evolutionary computation; fuzzy set theory; learning (artificial intelligence); medical diagnostic computing; medical expert systems; pattern classification; ClaDia; Wisconsin breast cancer data set; classification rate; disease diagnosis; fuzzy classifier system; fuzzy representation; learning classifier system; median based fuzzy combination rule; subpopulations; system parameter values; Breast cancer; Computer science; Diseases; Evolutionary computation; Expert systems; Fuzzy sets; Fuzzy systems; Humans; Machine learning; System testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2000. Proceedings of the 2000 Congress on
Conference_Location
La Jolla, CA
Print_ISBN
0-7803-6375-2
Type
conf
DOI
10.1109/CEC.2000.870821
Filename
870821
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