Neural fuzzy logic programming

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 1992Publisher:Institute of Electrical and Electronics Engineers (IEEE)Journal:IEEE Transactions on Neural Networks, volume 3, pages 815-818 (issn: 1045-9227,

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Authors: Patrik Eklund; Frank Klawonn;

doi: 10.1109/72.159071

pmid: 18276481

Neural fuzzy logic programming

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Abstract

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.

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