[PDF] Parameterised Fuzzy Petri Nets for Knowledge Representation and ...
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Abstract: The paper presents a new methodology for knowledge representation and reasoning based on parameterised fuzzy Petri nets. Recently, this net model ...
The paper presents a new methodology for knowledge representation and reasoning based on parameterised fuzzy Petri nets. Recently, this net model has been ...
Oct 22, 2024 · Fuzzy Petri nets (FPNs) are a potential modeling technique for knowledge representation and reasoning of rule-based expert systems.
Dec 27, 2023 · This article aims to develop a new FPN model, named as probabilistic linguistic Petri nets (PLPNs), for representing and acquiring knowledge based on a dynamic ...
Fuzzy Petri nets (FPNs) are a potential modeling technique for knowledge representation and reasoning of rule-based expert systems.
The paper presents a new methodology for knowledge representation and reasoning based on parameterised fuzzy Petri nets. Recently, this net model has been ...
The proposed model can be used for knowledge representation and approximate reasoning in decision support systems. Download to read the full chapter text ...
The focus of this paper is on an attempt towards a unified formalism to manage both symbolic and numerical information based on high-level fuzzy Petri nets ( ...
Q-Rung Orthopair Fuzzy Petri Nets for Knowledge Representation and ...
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Aug 29, 2023 · This paper investigates a novel fuzzy Petri nets (FPNs) method based on q-rung orthopair fuzzy sets (q-ROFSs) to provide an efficient solution to uncertain ...
In expert systems, fuzzy Petri nets (FPNs) are often utilized as a potential modeling tool for knowledge representation and reasoning [1,2]. The combination of ...