Abstract
In this paper, a modification for the generalized weighted fuzzy Petri net in intuitionistic fuzzy environment has been proposed with the help of inverted fuzzy implication as an output operator in operator binding function. It provides a way to optimize the truth values at the output places. Approximate reasoning algorithms for such Petri net have been proposed. A numerical example is provided to logically establish the proposed theory.
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Bandyopadhyay, S., Suraj, Z., & Grochowalski, P. (2016). Modified generalized weighted fuzzy petri net in intuitionistic fuzzy environment. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9920 LNAI, pp. 342–351). Springer Verlag. https://doi.org/10.1007/978-3-319-47160-0_31
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