Titlebook: Hybrid Intelligent Systems Based on Extensions of Fuzzy Logic, Neural Networks and Metaheuristics; Oscar Castillo,Patricia Melin Book 2023

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Interpretability of an Archimedean Compensatory Fuzzy Logic in Data Analytics: Some Case Studiesion of a series of quantification operators is observed, which indicates the relationship between two semantic approaches: the non-refutation approach and the affirmation approach. ACLF is then discussed, as an evaluation model that includes a combination of logics, quantifiers, and implication oper

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Carlos Eric Llorente-Peralta,Laura Cruz-Reyes,Rafael Alejandro Espín-Andrade,José Fernando Padron-Trnden Produktivkraft wird, scheint sich dagegen erst allmählich deutlicher herauszukristallisieren. Offensichtlich ist mittlerweile eine Art Grundgesetz moderner Industriearbeit klammheimlich außer Kraft gesetzt worden: daß der Arbeitsprozeß wesentlich durch den Entwicklungsstand der Technik bestimmt

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Yutzil Poma,Patricia Melinner Regelmäßigkeit dann zum Einsatz, wenn Eltern sich ihre Ohnmacht eingestehen müssen und ihr Kind nicht zu der Bildungsperspektive finden mag, die sie für es vorgesehen haben. Hilflosigkeit und Verzweiflung sind zu spüren, wenn Eltern das drohende Stigma der „Behinderung“ durch einen Kompromiß zwi

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Oscar Castillo,Patricia MelinPresents recent research on fuzzy logic, neural networks, optimization algorithms, and their hybrid combinations.Includes contributions on theoretical aspects as well as applications.Provides new and

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978-3-031-29001-5The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

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Hybrid Intelligent Systems Based on Extensions of Fuzzy Logic, Neural Networks and Metaheuristics978-3-031-28999-6Series ISSN 1860-949X Series E-ISSN 1860-9503

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A New Selection and Class Prediction Using Type-1 Fuzzy Logic Applied to a Convolutional Neural Netwfunction, which predicts based on percentages of the image and shows which is more likely based on its predictions and its highest percentages. In the proposal, fuzzy logic is used and we show that its results and predictions are correct using Type-1 fuzzy logic when applied to a convolutional neural network.

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A Decision-Making Approach Based on Multiple Neural Networks for Clustering and Prediction of Time Serate as tools to support decision-making. Our proposal consists of using a set of unsu-pervised neural networks to form clusters of data on population and carbon dioxide (CO2) emissions for a set of countries, and then using supervised neural networks to estimate future values of each of the time s