Non-monotonic fuzzy reasoning

被引：15
|
作者：
Castro, JL [1 ]
Trillas, E
Zurita, JM
机构：
[1] Univ Granada, ETSI Informat, Dept Ciencias Computac & Inteligencia Artificial, E-18071 Granada, Spain
[2] Univ Politecn Madrid, Fac Informat, Dept Inteligencia Artificial, E-28660 Madrid, Spain
来源：
FUZZY SETS AND SYSTEMS | 1998年 / 94卷 / 02期
关键词：
approximate reasoning; non-monotonic reasoning; fuzzy logic;
D O I：
10.1016/S0165-0114(96)00244-8
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Fuzzy reasoning can provide techniques both for representing and managing the imprecision in commonsense reasoning. But, like human reasoning, it conduces to inconsistencies (inherent to the imprecise or incomplete knowledge) that might be solved in the frame of fuzzy logic, simulating human behavior. In this paper we analyze this kind of conflicts and propose a non-monotonic fuzzy logic in order to solve it. Moreover, we show that many (non-monotonic) human reasoning patterns can be modeled by means of this "non-monotonic fuzzy reasoning". (C) 1998 Elsevier Science B.V.
引用
收藏
页码：217 / 225
页数：9
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