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• W2122104024 abstract "Transparency, accuracy, compactness and reliability all appear to be vital (even though somewhat contradictory) requirements when it comes down to linguistic fuzzy modeling. This paper presents a methodology for simultaneous optimization of these criteria by chaining previously published various algorithms – a heuristic fully automated identification algorithm that is able to extract sufficiently accurate, yet reliable and transparent models from data and two algorithms for subsequent simplification of the model that are able to reduce the number of output parameters as well as the number of fuzzy rules with only a marginal negative effect to the accuracy of the model." @default.
• W2122104024 created "2016-06-24" @default.
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• W2122104024 date "2011-10-01" @default.
• W2122104024 modified "2023-09-23" @default.
• W2122104024 title "Identification of transparent, compact, accurate and reliable linguistic fuzzy models" @default.
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• W2122104024 doi "https://doi.org/10.1016/j.ins.2011.01.041" @default.
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