AN ALTERNATIVE METHOD FOR INDUCING A MEMBERSHIP FUNCTION OF A CATEGORY

被引：8

作者：

NARAZAKI, H

RALESCU, AL

机构：

[1] LAB INT FUZZY ENGN RES,SIBAR HEGNER BLDG 3F,89-1 YAMASHITA CHO,NAKA KU,YOKOHAMA 231,JAPAN

[2] KOBE STEEL LTD,ELECTR RES LAB,KOBE 651,JAPAN

来源：

INTERNATIONAL JOURNAL OF APPROXIMATE REASONING | 1994年 / 11卷 / 01期

基金：

美国国家科学基金会;

关键词：

CONCEPT LEARNING; MACHINE LEARNING; INDUCTION; CLASSIFICATION KNOWLEDGE; MEMBERSHIP FUNCTION; KNOWLEDGE ACQUISITION;

D O I：

10.1016/0888-613X(94)90017-5

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We propose an alternative learning method for category classification knowledge. 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.

引用

页码：1 / 28

页数：28

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