Connectionist weighted fuzzy logic programs
Neurocomputing
Determination of Ordered Weighted Averaging Operator Weights Based on the M-Entropy Measures
International Journal of Intelligent Systems
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A foundational development of propositional fuzzy logic programs is presented. Fuzzy logic programs are structured knowledge bases including uncertainties in rules and facts. The precise specifications of uncertainties have a great influence on the performance of the knowledge base. It is shown how fuzzy logic programs can be transformed to neural networks, where adaptations of uncertainties in the knowledge base increase the reliability of the program and are carried out automatically