ON LIU'S INFERENCE RULE FOR UNCERTAIN SYSTEMS

被引：68

作者：

Gao, Xin ^{[1
]}

Gao, Yuan ^{[2
]}

Ralescu, Dan A. ^{[3
]}

机构：

[1] N China Elect Power Univ, Sch Math & Phys, Beijing 102206, Peoples R China

[2] Tsinghua Univ, Dept Math Sci, Beijing 100084, Peoples R China

[3] Univ Cincinnati, Dept Math Sci, Cincinnati, OH 45221 USA

来源：

INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS | 2010年 / 18卷 / 01期

关键词：

Uncertain inference; inference rule; uncertainty theory;

D O I：

10.1142/S0218488510006349

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Liu's inference is a process of deriving consequences from uncertain knowledge or evidence via the tool of conditional uncertainty. Using membership functions, this paper derives some expressions of Liu's inference rule for uncertain systems. This paper also discusses Liu's inference rule with multiple antecedents and with multiple if-then rules.

引用

页码：1 / 11

页数：11