A Forward Concurrent Reasoning Approach for Rule-based Systems Using Fuzzy Colored Petri Nets

被引：3

作者：

Yuan, Jie ^{[1
]}

Liu, Chang ^{[2
]}

Jiang, Bo ^{[1
]}

Shan, Yugang ^{[3
]}

Shang, Wenli ^{[2
]}

机构：

[1] Xinjiang Univ, Sch Elect Engn, Urumqi 830002, Xinjiang Provin, Peoples R China

[2] Chinese Acad Sci, Shenyang Inst Automat, Shenyang 110016, Peoples R China

[3] Air Force, Shenyang 110015, Peoples R China

来源：

2010 8TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA) | 2010年

关键词：

fuzzy colored Petri nets(FCPN); rule-based; forward concurrent reasoning; weight; conformal partitioned matrices; FAULT-DIAGNOSIS;

D O I：

10.1109/WCICA.2010.5554461

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 proposes a forward concurrent reasoning method for rule-based systems using the defined fuzzy colored Petri nets (FCPN). The major differences between the proposed method and the conventional ones are described as follows. Firstly, weighted inference is taken to realize a more reliable and flexible reasoning manner. Secondly, conformal partitioned matrix theory is utilized to achieve forward concurrent reasoning, improving the inference efficiency. Moreover, tokens are not removed while the enabled transitions are fired, meeting the practical cases. The aforementioned aspects are also the prominent advantages of the proposed approach. A case illustrates that the proposed approach is sound and feasible.

引用

页码：1579 / 1584

页数：6