Towards an automatic consensus generator tool: EGAC

Author

Torra, V. ; Cortes, U.

Author_Institution

ETSE, Univ. Rovira i Virgili, Tarragona, Spain

Volume

25

Issue

5

fYear

1995

fDate

5/1/1995 12:00:00 AM

Firstpage

888

Lastpage

894

Abstract

Automatic knowledge acquisition for expert systems has attracted much attention. Several algorithms that infer concept descriptions from a given set of training examples have been developed to aid in this task, some of them elicit concepts from examples organized in data matrices. These algorithms infer from different training examples (or different matrices defined by a set of experts) slightly different concept descriptions. Herein we propose a method based on synthesis of judgements, fuzzy sets and classification methods that applied to a set of data matrices builds an agreed one that synthesises the information contained in the set of matrices. The method proposed can be applied to data matrices with attributes of several types: measure and ratio quantitative attributes, and ordered and nonordered qualitative ones

Keywords

expert systems; fuzzy set theory; knowledge acquisition; pattern classification; EGAC; automatic consensus generator tool; automatic knowledge acquisition; classification methods; concept descriptions; data matrices; expert systems; fuzzy sets; judgements; measure quantitative attributes; nonordered qualitative attributes; ordered qualitative attributes; ratio quantitative attributes; Artificial intelligence; Concrete; Expert systems; Fuzzy sets; Knowledge acquisition; Knowledge based systems; Knowledge engineering; Large scale integration; Learning; Predictive models;

fLanguage

English

Journal_Title

Systems, Man and Cybernetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9472

Type

jour

DOI

10.1109/21.376503

Filename

376503