Title :
Knowledge acquisition system for hierarchical classification problems
Author :
Furuya, Hiroyuki ; Hattori, Fumio
Author_Institution :
Commun. & Inf. Process. Lab., NTT, Kanagawa, Japan
fDate :
Feb. 27 1989-March 3 1989
Abstract :
The authors have developed a knowledge-acquisition support system for hierarchical classification problems. This system, which is based on a personal construct theory from the field of psychology, aids in the construction of a hierarchy of the items to be classified. The support function uses the concepts of fuzzy entropy and information entropy to generate the hierarchy with a minimum number of consultation questions.<>
Keywords :
classification; expert systems; knowledge acquisition; consultation questions; fuzzy entropy; hierarchical classification problems; hierarchy; information entropy; knowledge-acquisition support system; personal construct theory; psychology; support function; Concrete; Diagnostic expert systems; Expert systems; Kernel; Knowledge acquisition; Knowledge engineering; Laboratories; Medical expert systems; Prototypes; Psychology;
Conference_Titel :
COMPCON Spring '89. Thirty-Fourth IEEE Computer Society International Conference: Intellectual Leverage, Digest of Papers.
Conference_Location :
San Francisco, CA, USA
Print_ISBN :
0-8186-1909-0
DOI :
10.1109/CMPCON.1989.301965
