Fuzzy Petri nets and industrial applications: a review

被引：58

作者：

Zhou, Kai-Qing ^{[1
]}

Zain, Azlan Mohd ^{[1
]}

机构：

[1] Univ Teknol Malaysia, Fac Comp, Soft Comp Res Grp, Skudai 81310, Johor, Malaysia

来源：

ARTIFICIAL INTELLIGENCE REVIEW | 2016年 / 45卷 / 04期

关键词：

Fuzzy Petri net; Modeling; Reasoning algorithm; Industrial application; KNOWLEDGE REPRESENTATION; DECISION-MAKING; RELIABILITY-ANALYSIS; REASONING ALGORITHM; FAULT-DIAGNOSIS; SOLAR-ARRAY; SYSTEM; DESIGN; WORKFLOW; OPTIMIZATION;

D O I：

10.1007/s10462-015-9451-9

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Fuzzy Petri net (FPN) provides an extremely competent basis for the implementation of computing reasoning processes and the modeling of systems with uncertainty. This paper reviews recent developments of the FPN and its industrial applications. Several important aspects of FPN's background, history and formalisms are discussed, including the reasoning algorithm and relevant industrial applications; after which we present our conclusions and suggestions for future research.

引用

页码：405 / 446

页数：42

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