Weighted Generalized Fuzzy Petri Nets and Rough Sets for Knowledge Representation and Reasoning

Suraj, Zbigniew; Hassanien, Aboul Ella; Bandyopadhyay, Sanghamitra

doi:10.1007/978-3-030-52705-1_5

Cited by 5 publications

(1 citation statement)

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“…To overcome this disadvantage, fuzzy Petri nets were developed [20]. In this section, definition of weighted fuzzy Petri nets (abbreviated as wFPN) [21] and the basic concepts related to it will be recalled. When the knowledge is represented in the knowledge tables and production rules are created, the next step is to create wFPN.…”

Section: Weighted Fuzzy Petri Nets As a Formal Ptl Modelmentioning

confidence: 99%

Modeling of Passenger Transport Logistics Based on Intelligent Computational Techniques

Suraj

Олар

Bloshko

2021

Int J Comput Intell Syst

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The paper describes the analysis of the application of classic and optimized triangular norms in the hierarchical structure of weighted fuzzy Petri nets on the example of passenger transport logistics. The research is presented in a scheme with several levels of tasks. Each task includes some knowledge sets which were previously given by the experts and set into tables of “Object–property” type. It leads to the creation of a hierarchical structure of weighted fuzzy Petri net model which includes 125 possible combinations of triples of functions for calculation processing. A classic triple of functions (ZtN, GtN, ZsN) is tested and compared with an optimized triple (ZtN, ZtN, LsN). Additional verification methods are applied to confirm the practical usefulness of these triples. These techniques imply the use of additional triples which can be associated with each other along with practically efficient mathematical calculations.

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Section: Weighted Fuzzy Petri Nets As a Formal Ptl Modelmentioning

confidence: 99%