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Titlebook: Computational Intelligence and Mathematics for Tackling Complex Problems; László T Kóczy,Jesús‘Medina-Moreno,Alexander ?osta Book 2020 Spr

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書(shū)目名稱(chēng)Computational Intelligence and Mathematics for Tackling Complex Problems
編輯László T Kóczy,Jesús‘Medina-Moreno,Alexander ?osta
視頻videohttp://file.papertrans.cn/233/232431/232431.mp4
概述Combines computational intelligence and mathematics to solve theoretical and real-world problems alike.Gathers extended and revised versions of the best papers presented at the ESCIM 2018.Written by r
叢書(shū)名稱(chēng)Studies in Computational Intelligence
圖書(shū)封面Titlebook: Computational Intelligence and Mathematics for Tackling Complex Problems; László T Kóczy,Jesús‘Medina-Moreno,Alexander ?osta Book 2020 Spr
描述.This book combines computational intelligence and mathematics to solve theoretical and real-world problems. The real challenges of engineering and other applied sciences, e.g. economics and management, the social sciences, etc., and even everyday life, are increasingly raising complex problems – both in the usual sense, but also in the mathematical and theoretical computer science sense, which is referred to as intractability. Finding exact solutions to the latest problems in mathematics is impossible, and it has been also shown that no further technical advance will ever make it possible to find general and exact solutions to such complex problems. Rather, the goal is to find solutions that are “good enough” or “acceptably accurate,” including models and corresponding algorithms, which is most often achieved by combining traditional mathematical techniques and computational intelligence tools, such as fuzzy systems, evolutionary and memetic algorithms, and artificial neural networks..Consequently, international funding programs, such as the European Commission’s current framework program for research and innovation (Horizon 2020), and the preliminary research team building COST A
出版日期Book 2020
關(guān)鍵詞Intelligent Systems; Computational Intelligence; Mathematics; Fuzziness; Data Science
版次1
doihttps://doi.org/10.1007/978-3-030-16024-1
isbn_ebook978-3-030-16024-1Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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The Discrete Bacterial Memetic Evolutionary Algorithm for Solving the One-Commodity Pickup-and-Delikup-and-Delivery Traveling Salesman Problem. The algorithm was tested on benchmark instances up to 100 nodes, and the results were compared with the state-of-the art methods in the literature. For all instances the DBMEA found optimal or close-optimal solutions.
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,Notes on the Rescaled Algorithm for?Fuzzy Cognitive Maps,clusion relies on the assumption that the iteration reaches a fixed point, it is not straightforward that the iteration will converge to anywhere, since it can produce limit cycles or chaotic behaviour also. In this paper, we briefly analyse the behaviour of the so-called rescaled algorithm for fuzz
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On the Exchange Principle in Adjoint Triples,y logic programming, formal concept analysis and fuzzy relation equations. In this work, we will analyze how the exchange principle law should be defined on adjoint triples and what conditions the conjunction of an adjoint triple should fulfill in order to guarantee that its corresponding residuated
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Poset Valued Intuitionistic Preference Relations,re to justify a new notion of poset-valued reciprocal (preference) relations and also the intuitionistic version of this definition. Join-irreducible elements would represent pieces of information representing grade of preference in this framework. It is demonstrated that no restriction on type of a
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,Attribute Selection via Hellwig’s Algorithm for Atanassov’s Intuitionistic Fuzzy Sets,s intuitionistic fuzzy set (A-IFS). The main goal is the dimension reduction for sets of data represented as the A-IFSs. We provide an illustrative example using real SPECT Heart data and analyze in detail the results obtained by Hellwig’s algorithm comparing them with other results from literature.
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