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Fuzzy modelling with a compromise fuzzy reasoning

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (2004) 3070 284-289
DOI: 10.1007/978-3-540-24844-6_39
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Abstract

In the paper we study flexible neuro-fuzzy systems based on a compromise fuzzy implication. The appropriate neuro-fuzzy structures are developed and the influence of a compromise parameter on their performance is investigated. The results are illustrated on typical benchmarks.

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Cpalka, K., & Rutkowski, L. (2004). Fuzzy modelling with a compromise fuzzy reasoning. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 3070, pp. 284–289). Springer Verlag. https://doi.org/10.1007/978-3-540-24844-6_39

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