Generalized Modus Tollens with Linguistic Modifiers for Inverse Approximate Reasoning

被引：5
作者：
Le Anh Phuong [1 ]
Tran Dinh Khang [2 ]
机构：
[1] Hue Univ, Hue Univ Educ, Dept Comp Sci, Hue City, Vietnam
[2] Hanoi Univ Sci & Technol, Sch Informat Commun Technol, Hanoi City, Vietnam
来源：
INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS | 2014年 / 7卷 / 03期
关键词：
Hedge algebra; linguistic truth value domain; generalized modus tollens inference rules; linguistic many-valued logic; inverse approximate reasoning; FUZZY LOGIC; HEDGE ALGEBRAS; RULES;
D O I：
10.1080/18756891.2013.870766
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Based on our previous researchs about generalized modus ponens (GMP) with linguistic modifiers for If ... Then rules, this paper proposes new generalized modus tollens (GMT) inference rules with linguistic modifiers in linguistic many-valued logic framework with using hedge moving rules for inverse approximate reasoning.
引用
收藏
页码：556 / 564
页数：9
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