A GENERALIZED ALGEBRAIC APPROACH TO UNCERTAINTY PROCESSING IN RULE-BASED EXPERT SYSTEMS (DEMPSTEROIDS)

被引：0

作者：

HAJEK, P ^{[1
]}

VALDES, JJ ^{[1
]}

机构：

[1] CUBAN ACAD SCI, COPEXTEL, ARTIFICIAL INTELLIGENCE & DATA ANAL LAB, HAVANA, CUBA

来源：

COMPUTERS AND ARTIFICIAL INTELLIGENCE | 1991年 / 10卷 / 01期

关键词：

RULE-BASED EXPERT SYSTEMS; COMBINING FUNCTIONS; ORDERED ABELIAN GROUPS; DEMPSTER-SHAFER THEORY;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Algebraic analysis of compositional rule-based expert systems presented in HAJEK - VALDES [16] is generalized here by allowing the weights of the rules and propositions be elements of a semigroup called Dempster's semigroup (the semigroup operation is the celebrated Dempster rule). Dempster's semigroup is generalized to an infinite class of algebras called dempsteroids which relate to Dempster's semigroup like ordered Abelian groups to PROSPECTOR's group. Expert systems with weights in a dempsteroid are related to expert systems with weights in an ordered Abelian group and most theorems of [16] are generalized in our present more general case.

引用

页码：29 / 42

页数：14

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