Titlebook: Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools; József Dombi,Orsolya Csiszár Book 2021 The Editor(s) (

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978-3-030-72282-1The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

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Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools978-3-030-72280-7Series ISSN 1434-9922 Series E-ISSN 1860-0808

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Studies in Fuzziness and Soft Computinghttp://image.papertrans.cn/e/image/319302.jpg

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https://doi.org/10.1007/978-3-319-67122-2onable to study fuzzy logical systems, where these laws hold. In this chapter, we give a full description of consistent conjunction, disjunction, and negation triples in such systems. We also introduce additional negation operators that naturally define thresholds for better modeling of human thinki

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Aleksandra Terzi?,Dunja Demirovi? Bajramis. Here, we introduce two reasonable approaches for defining these unaries; by repeating the arguments of many-variable operators and by using compositions of negations. This way, hedges and also modalities can be viewed as a part of a logical system. We show that membership functions, which play a

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