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Titlebook: Computational Intelligence and Mathematics for Tackling Complex Problems 4; María Eugenia Cornejo,István Á. Harmati,Jesús Medi Book 2023 T

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书目名称Computational Intelligence and Mathematics for Tackling Complex Problems 4
编辑María Eugenia Cornejo,István Á. Harmati,Jesús Medi
视频video
概述Presents recent trends in Computational Intelligence and Mathematics for tackling complex problems.Addresses highest quality papers from the European Symposium on Computational Intelligence and Mathem
丛书名称Studies in Computational Intelligence
图书封面Titlebook: Computational Intelligence and Mathematics for Tackling Complex Problems 4;  María Eugenia Cornejo,István Á. Harmati,Jesús Medi Book 2023 T
描述.The recent book of the series continues the collection of articles dealing with the important and efficient combination of traditional and novel mathematical approaches with various computational intelligence techniques, with a stress of fuzzy systems, and fuzzy logic...Complex systems are theoretically intractable, as the need of time and space resources (e.g., computer capacity) exceed any implementable extent. How is it possible that in the practice, such problems are usually manageable with an acceptable quality by human experts? They apply expert domain knowledge and various methods of approximate modeling and corresponding algorithms. Computational intelligence is the mathematical tool box that collects techniques which are able to model such human interaction, while (new) mathematical approaches are developed and used everywhere where the complexity of the sub-task allows it. The innovative approaches in this book give answer to many questions on how to solve “unsolvable” problems..
出版日期Book 2023
关键词Computational Intelligence; Mathematics and Computational Intelligence; Intelligent Systems; Fuzzy Logi
版次1
doihttps://doi.org/10.1007/978-3-031-07707-4
isbn_softcover978-3-031-07709-8
isbn_ebook978-3-031-07707-4Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Generalized Phi-Transform of Aggregation Functions on Bounded Lattices,andard isomorphic .-transforms of aggregation functions. It covers, among others, several known construction methods, such as particular cases of ordinal sums of aggregation functions, e.g., of t-norms, copulas, t-conorms, etc. In this paper, we introduce a new construction method to aggregation fun
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,Facilitating the Simulation of Domestic Energy Systems Through Linguistic Representations,e formulation of new policies or strategies to manage these energy sources in the most cost-effective manner. This work aims to propose an intelligent energy management system that can be used in civil and commercial buildings to simulate the choice of energy at a given time, and to select the best
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,Fuzzy Inference System-like Aggregation Operator for Fuzzy Signatures,en the leafs or branches can not be handled by classical operators as weighted relevance aggregation operator or weighted generalized mean, more with fuzzy rules. This paper presents the suggested Fuzzy inference system-like aggregation operator (FISAO), shows its axiomatic conformity and depicts it
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From Fuzzy Partitions to Riemannian Manifolds,r-dimensional space. We contribute to the problem of manifold learning. We show that a space whose topological structure is characterized by a fuzzy partition naturally leads to so called Riemannian spaces or Riemannian manifolds.
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