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Titlebook: Computational Intelligence and Mathematics for Tackling Complex Problems 2; María Eugenia Cornejo,László T. Kóczy,Juan Moreno- Book 2022 T

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書目名稱Computational Intelligence and Mathematics for Tackling Complex Problems 2
編輯María Eugenia Cornejo,László T. Kóczy,Juan Moreno-
視頻videohttp://file.papertrans.cn/233/232432/232432.mp4
概述Presents recent trends in computational intelligence and mathematics for tackling complex problems.Is mainly composed of the highest quality papers presented at ESCIM-2019 held on October 2–5, 2019, i
叢書名稱Studies in Computational Intelligence
圖書封面Titlebook: Computational Intelligence and Mathematics for Tackling Complex Problems 2; María Eugenia Cornejo,László T. Kóczy,Juan Moreno- Book 2022 T
描述.This book collects the final versions of the highest quality papers presented at the conference 11th European Symposium on Computational Intelligence and Mathematics held on October 2–5, 2019, in Toledo (Spain). The conjugation of computational sciences with different mathematical tools is essential in order to solve different challenges that arise in a wide-ranging knowledge areas. Nowadays, many promising research lines are being developed in this direction from the theoretical and applicational perspectives...In this publication, computational intelligence and mathematics are combined in interesting research works that aim to give answers to complex real problems. Moreover, the technical program of this conference included four excellent keynote speeches, given by Prof. José Luis Verdegay (Guidelines to solve Decision Making Problems), Prof. Joao Paulo Carvalho (Recommender Systems: Using Fuzzy Fingerprints for ``Proper‘‘ Recommendations), Dr. Andreja Tepavcevic (Special lattice valued structures and approximate solutions of linear equations), and Prof. Juan Moreno-Garcia (Generating linguistic descriptions using Linguistic Petri Nets)..
出版日期Book 2022
關(guān)鍵詞Computational Intelligence; Mathematics and Computational Intelligence; Intelligent Systems; Fuzzy Logi
版次1
doihttps://doi.org/10.1007/978-3-030-88817-6
isbn_softcover978-3-030-88819-0
isbn_ebook978-3-030-88817-6Series 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
The information of publication is updating

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https://doi.org/10.1007/978-3-030-88817-6Computational Intelligence; Mathematics and Computational Intelligence; Intelligent Systems; Fuzzy Logi
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Some Implications of Interval Approach to Dimension for Network Complexity,k complexity are analyzed. Bounds on correlations of computational tasks represented by high-dimensional vectors are derived. Network complexity is explored from the point of view of the concentration of measure phenomenon.
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,Social Indexes Segregation Based on?MEOWA and?MOOWA Aggregation Operators,d, being OWA operators the most appropriate alternative. The associated weights of OWA operators can be defined in different ways. In this paper we propose to use MOOWA aggregation operators (maximizing ordinal dispersion instead of entropy) for the construction of indexes where no ranking amongst their variables is possible.
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Interactive Search by Using Minimal Generators,called . and can be used to find minimal generators in a symbolic way by using logic. The computation of all minimal generators is exponential. Here, we provide a novel lazy algorithm with polynomial delay in which minimal generators are used as forks in a map to guide an interactive search.
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