GRADUAL INFERENCE RULES IN APPROXIMATE REASONING

被引:136
作者
DUBOIS, D
PRADE, H
机构
[1] Institut de Recherche en Informatique de Toulouse, Université Paul Sabatier, 31062 Toulouse Cedex
关键词
D O I
10.1016/0020-0255(92)90035-7
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Gradual inference rules of the form "The more X is F, the more Y is G" (or of similar forms with "the less" instead of "the more"), which express a progressive change of the degree to which the entity Y satisfies the gradual property G when the degree to which the entity X satisfies the gradual property F is modified, are often encountered in commonsense reasoning. A representation of such rules by means of fuzzy sets is proposed and discussed. This representation turns out to be based on a special implication function already considered in multiple-valued logic. Patterns of reasoning involving gradual inference rules are formalized. Their links with interpolation mechanisms are pointed out.
引用
收藏
页码:103 / 122
页数:20
相关论文
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