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

Autor: Suraj, Zbigniew, Hassanien, Aboul Ella, Bandyopadhyay, Sibasis
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Rough Sets
Popis: In this paper, we consider the decision tables provided by experts in the field. We construct an algorithm for executing a highly parallel program represented by a fuzzy Petri net from a given decision table. The constructed net allows objects to be identified in decision tables to the extent that appropriate decisions can be made. Conditional attribute values given by experts are propagated by the net at maximum speed. This is done by properly organizing the net’s work. Our approach is based on rough set theory and weighted generalized fuzzy Petri nets.
Databáze: OpenAIRE