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Titolo:
AN ALTERNATIVE METHOD FOR INDUCING A MEMBERSHIP FUNCTION OF A CATEGORY
Autore:
NARAZAKI H; RALESCU AL;
Indirizzi:
LAB INT FUZZY ENGN RES,SIBAR HEGNER BLDG 3F,89-1 YAMASHITA CHO,NAKA KU YOKOHAMA 231 JAPAN LAB INT FUZZY ENGN RES,SIBAR HEGNER BLDG 3F,89-1 YAMASHITA CHO,NAKA KU YOKOHAMA 231 JAPAN KOBE STEEL LTD,ELECTR RES LAB KOBE 651 JAPAN
Titolo Testata:
International journal of approximate reasoning
fascicolo: 1, volume: 11, anno: 1994,
pagine: 1 - 28
SICI:
0888-613X(1994)11:1<1:AAMFIA>2.0.ZU;2-Y
Fonte:
ISI
Lingua:
ENG
Keywords:
CONCEPT LEARNING; MACHINE LEARNING; INDUCTION; CLASSIFICATION KNOWLEDGE; MEMBERSHIP FUNCTION; KNOWLEDGE ACQUISITION;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
CompuMath Citation Index
Science Citation Index Expanded
Science Citation Index Expanded
Citazioni:
15
Recensione:
Indirizzi per estratti:
Citazione:
H. Narazaki e A.L. Ralescu, "AN ALTERNATIVE METHOD FOR INDUCING A MEMBERSHIP FUNCTION OF A CATEGORY", International journal of approximate reasoning, 11(1), 1994, pp. 1-28

Abstract

We propose an alternative learning method for category classificationknowledge. Our method induces a membership function for a category from positive and negative examples. It can learn ''topological knowledge'' such as typicality of an example. Our method consists of two stages: example space configuration of a coordinate system in the first stage, induction of membership function that induces a membership function based on the distance in the newly configured example space in the second Further, we investigate search strategies suitable for deriving the symbolic expression of a category by geometric analysis of the example space.

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Documento generato il 08/07/20 alle ore 07:54:46