A NOVEL INTERVAL CERTITUDE RULE BASE INFERENCE METHOD WITH EVIDENTIAL REASONING

被引：0
|
作者：
Jin, Liuqian [1 ]
Xu, Yang [1 ]
Fang, Xin [2 ]
机构：
[1] Southwest Jiaotong Univ, Intelligent Control Dev Ctr, 111 North Second Ring Rd, Chengdu 610031, Sichuan, Peoples R China
[2] Chongqing Technol & Business Univ, Sch Business Planning, 18 Univ Ave, Chongqing 400067, Peoples R China
来源：
UNCERTAINTY MODELLING IN KNOWLEDGE ENGINEERING AND DECISION MAKING | 2016年 / 10卷
基金：
美国国家科学基金会;
关键词：
Rule based system; Interval certitude factor; Uncertainty; Inference method; Evidential reasoning; REPRESENTATION; UNCERTAINTY;
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：
In this paper, a rule based representation with interval certitude structure is presented as well as its inference method based on evidential reasoning, operational research and fuzzy set theory. A rule base is designed with interval certitude degrees embedded in the antecedent terms and consequent terms, which is shown to be capable of capturing uncertainties of human knowledge and human judgment. And the evidential reasoning approach is applied to the rule combination.
引用
收藏
页码：50 / 55
页数：6
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