A recognition-inference procedure for a knowledge representation scheme based on fuzzy Petri nets

被引：0
|
作者：
Ribaric, Slobodan [1 ]
Pavesic, Nikola [2 ]
机构：
[1] Univ Zagreb, Fac Elect & Comp Engn, Unska 3, Zagreb 10000, Croatia
[2] Univ Ljubljana, Fac Elect Engn, Ljubljana 1000, Slovenia
来源：
MICAI 2006: ADVANCES IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS | 2006年 / 4293卷
关键词：
Fuzzy Petri Net; knowledge representation; inference procedure; recognition;
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：
This paper presents a formal model of the knowledge representation scheme KRFP based on the Fuzzy Petri Net (FPN) theory. The model is represented as an 11-tuple consisting of the components of the FPN and two functions that give semantic interpretations to the scheme. For the scheme a fuzzy recognition-inference procedure, based on the dynamical properties of the FPN and the inverse -KRFP scheme, is described in detail. An illustrative example of the fuzzy recognition algorithm for the knowledge base, designed by the KRFP, is given.
引用
收藏
页码：38 / +
页数：3
相关论文
共 50 条
12345