Resolution Principle in Uncertain Random Environment

被引：13

作者：

Yang, Xiangfeng ^{[1
]}

Gao, Jinwu ^{[2
]}

Ni, Yaodong ^{[1
]}

机构：

[1] Univ Int Business & Econ, Sch Informat Technol & Management, Beijing 100029, Peoples R China

[2] Renmin Univ China, Sch Informat, Beijing 100872, Peoples R China

来源：

IEEE TRANSACTIONS ON FUZZY SYSTEMS | 2018年 / 26卷 / 03期

基金：

中国国家自然科学基金;

关键词：

Chance theory; resolution principle; uncertain random logic; uncertainty theory; STOCK MODEL; LOGIC;

D O I：

10.1109/TFUZZ.2017.2735941

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

As a generalization of probabilistic logic and uncertain logic, uncertain random logic deals with complex knowledge containing randomness and human uncertainty simultaneously. Based on uncertain random entailment model, this paper studies two uncertain random resolution principles. As byproducts, a random resolution principle and an uncertain resolution principle are also discussed. Moreover, the corresponding four formulas are proved to calculate the truth values of those resolution principles.

引用

页码：1578 / 1588

页数：11

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