Abstract
In this paper, a soft Petri net model has been proposed based on a soft production rule. A soft implication operator has been introduced based on logical and set theoretic operations in a soft set. The truth degree in initial marking is considered as a binary number and boolean operators are used as In,$$Out:1$$ and$$Out:2$$ operators in the Petri net. Algorithms have been proposed to describe an approximate reasoning process with the soft Petri net. A numerical problem related to the purchase of a beautiful flat by a rational buyer has been discussed to establish relevance of the theory proposed.
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CITATION STYLE
Bandyopadhyay, S., Suraj, Z., & Nayak, P. K. (2019). Soft Petri Net. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11499 LNAI, pp. 253–264). Springer Verlag. https://doi.org/10.1007/978-3-030-22815-6_20
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