DETECTOR - A KNOWLEDGE-BASED SYSTEM FOR INJECTION-MOLDING DIAGNOSTICS

被引：16

作者：

PANDELIDIS, IO ^{[1
]}

KAO, JF ^{[1
]}

机构：

[1] UNIV MARYLAND,DEPT MECH ENGN,COLLEGE PK,MD 20742

来源：

JOURNAL OF INTELLIGENT MANUFACTURING | 1990年 / 1卷 / 01期

关键词：

INJECTION MOLDING; EXPERT SYSTEM; KNOWLEDGE REPRESENTATION; FUZZY SET; MAXIMUM PRIORITY COVER;

D O I：

10.1007/BF01471341

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A knowledge-based system (KBS) for diagnosis of multiple defects in injection molding is presented. The general scheme for knowledge representation based on fuzzy set theory has been shown useful in representing inexact and incomplete information for developing the KBS. An optimality criterion is created for selecting a simple and 'best' cover to explain the given problem. An efficient search algorithm for finding such cover is also discussed.

引用

页码：49 / 58

页数：10

共 19 条

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