A MULTILEVEL WEIGHTED REASONING ALGORITHM USING INTERACTIVE WEIGHTED PETRI NETS

被引：1
|
作者：
Xu, Ying [1 ]
机构：
[1] Ningbo Dahongying Educ Grp, Ningbo 315175, Zhejiang, Peoples R China
来源：
PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-6 | 2009年
关键词：
Petri Nets; Fuzzy linguistic terms; Interaction;
D O I：
10.1109/ICMLC.2009.5212480
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents a multilevel weighted fuzzy reasoning algorithm for rule-based system based on Interactive Weighted Fuzzy Petri Nets (IWFPN). The proposed algorithm allows the local weights in the antecedents of the rule are represented by fuzzy numbers corresponding to the fuzzy linguistic terms of weights due to the interaction exists among attributes. Given a set of observed facts, the algorithm can perform fuzzy reasoning to evaluate the fuzzy sets of conclusions and their corresponding certainty factor values automatically. The proposed algorithm can allow the rule-based systems to perform fuzzy reasoning more intelligently.
引用
收藏
页码：509 / 514
页数：6
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