An equivalent generating algorithm to model fuzzy Petri net for knowledge-based system

Kai-Qing Zhou (), Li-Ping Mo, Jie Jin and Azlan Mohd Zain
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Kai-Qing Zhou: Jishou University
Li-Ping Mo: Jishou University
Jie Jin: Jishou University
Azlan Mohd Zain: Universiti Teknologi Malaysia, UTM

Journal of Intelligent Manufacturing, 2019, vol. 30, issue 4, No 20, 1842 pages

Abstract: Abstract The simulation of knowledge-based systems (KBSs) has become a significant challenge owing to the rapid increase in the scale of accumulated data. The extended formalisms that are widely used to test, model, and analyze such systems include the fuzzy production rule (FPR) and fuzzy Petri net (FPN). However, with the growth in magnitude of KBSs, it has become difficult to manually generate an FPN. Hence, the authors propose an equivalent transformation algorithm that automatically models an FPN for a sizeable KBS. The proposed method produces a final FPR by initially investigating the inner-inference path(s) between FPRs, followed by a four-phase transformation algorithm that automatically generates an equivalent FPN model for the corresponding KBS rooted in the inner-inference path(s) obtained. A KBS with 13 FPRs is used to demonstrate both the validity and feasibly of the proposed transformation algorithm. The results validate the capability of the generated FPN to fully represent the complete information base contained in the corresponding KBS.

Keywords: Fuzzy production rule; Fuzzy Petri net; Modeling; Equivalent; Inner-inference path(s) (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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DOI: 10.1007/s10845-017-1355-x

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