Abstract
This work presents an original transformation of an organization level of complex systems and its model based on fuzzified Petri net, with rulebased decision-making and appropriate knowledge base. This modeling is an extension of all previous forms of fuzzy-Petri reasoning algorithm, because fuzzified parameterized Petri-nets proposed here, can be used to generate a high level abstract plan, even in the absence of complete information, which may be mapped into a specific plan at a lower level of the hierarchy. Our parameterized fuzzy-Petri net reformulation is following the original conception of G. N. Saridis and is fuzzy-addition to his Petri net co-ordinative controller. So it has general generic feature.
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Gacovski, Z.M., Dimirovski, G.M. (2001). Parameterized Petri Net Reformulation of the Fuzzy Production System. In: Reusch, B. (eds) Computational Intelligence. Theory and Applications. Fuzzy Days 2001. Lecture Notes in Computer Science, vol 2206. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45493-4_27
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DOI: https://doi.org/10.1007/3-540-45493-4_27
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