KNOWLEDGE-BASED SYSTEMS AND FUZZY BOOLEAN PROGRAMMING

被引：8

作者：

CASTRO, JL

HERRERA, F

VERDEGAY, JL

机构：

[1] Dept. of Computer Science and Artificial Intelligence, University of Granada, Granada

来源：

INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS | 1994年 / 9卷 / 02期

关键词：

D O I：

10.1002/int.4550090203

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This article discusses the applications of fuzzy boolean programming problems for representing and reasoning with propositional knowledge. The use of the models provided by the fuzzy boolean problems are proposed to answer imprecise questions in precisely stated knowledge-based systems. Also, the advantages of using fuzzy boolean programming instead of classical ones are presented in the framework of propositional knowledge. (C) 1994 John Wiley & Sons, Inc.

引用

页码：211 / 225

页数：15

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