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Titlebook: Computational Intelligence and Mathematics for Tackling Complex Problems 3; István Á. Harmati,László T. Kóczy,Eloísa Ramírez-P Book 2022 T

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发表于 2025-3-21 16:57:49 | 显示全部楼层 |阅读模式
书目名称Computational Intelligence and Mathematics for Tackling Complex Problems 3
编辑István Á. Harmati,László T. Kóczy,Eloísa Ramírez-P
视频videohttp://file.papertrans.cn/233/232433/232433.mp4
概述Presents an investigation of connections and synergy between mathematics and computational intelligence offers effective and efficient solutions to complex, real world and sometimes „unsolvable" probl
丛书名称Studies in Computational Intelligence
图书封面Titlebook: Computational Intelligence and Mathematics for Tackling Complex Problems 3;  István Á. Harmati,László T. Kóczy,Eloísa Ramírez-P Book 2022 T
描述Complex problems and systems, which prevail in the real world, cannot often be tackled and solved either by traditional methods offered by mathematics or even the traditional computer science (CS) and and artificial intelligence (AI)..). What is the way out of this dilemma? Advanced methodologies, and tools and techniques, „mimicking” human reasoning or the behavior of animals, animal populations or certain parts of the living bod, based on traditional computer science science and the initial approaches of artificial intelligence  are often referred to as biologically inspired methods, or often computational intelligence (CI). Computational intelligence offers effective and efficient solutions to many „unsolvable" problems problems. However, it is far from being a ready to use and complete collection of approaches, and is rather a continuously developing field without clear borders. The emerging new models and algorithms of computational intelligence are deeply rooted in thevast apparatus of traditional mathematics. Thus, the investigation of connections and synergy between mathematics and computational intelligence is an eminent goal which is periodically pursued by a group of mat
出版日期Book 2022
关键词Computational Intelligence; Biologically Inspired Methods; Artificial Intelligence; Mathematics; ESCIM
版次1
doihttps://doi.org/10.1007/978-3-030-74970-5
isbn_softcover978-3-030-74972-9
isbn_ebook978-3-030-74970-5Series 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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§ 5 Delikte gegen die Privatsphärerence scale or interval scale invariant. We illustrate the obtained results applying the introduced transformations to the basic fuzzy integrals. It is shown that only the Choquet integral is invariant with respect to all studied transformations.
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https://doi.org/10.1007/978-3-642-55833-7memory-based fuzzy cognitive maps have been introduced, which use a sequence of preceding states to determine the next one. In this paper, some dynamical properties of higher-order fuzzy cognitive maps are analyzed. Particularly, the existence and uniqueness of equilibrium points and the stability are discussed.
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Book 2022 or even the traditional computer science (CS) and and artificial intelligence (AI)..). What is the way out of this dilemma? Advanced methodologies, and tools and techniques, „mimicking” human reasoning or the behavior of animals, animal populations or certain parts of the living bod, based on tradi
发表于 2025-3-22 09:30:13 | 显示全部楼层
-Fuzzy Subtopology,fuzzy set theory. Kluwer Academic Publishers, Dordrecht, pp 53–105, 1995, [.]), and propose a new notion of an .-fuzzy subtopology on .. In this contribution, we give an example of one important .-fuzzy subtopology and discuss useful applications.
发表于 2025-3-22 16:03:51 | 显示全部楼层
Invariant Aggregation and Pre-aggregation Functions,rence scale or interval scale invariant. We illustrate the obtained results applying the introduced transformations to the basic fuzzy integrals. It is shown that only the Choquet integral is invariant with respect to all studied transformations.
发表于 2025-3-22 18:33:49 | 显示全部楼层
Some Dynamical Properties of Higher-Order Fuzzy Cognitive Maps,memory-based fuzzy cognitive maps have been introduced, which use a sequence of preceding states to determine the next one. In this paper, some dynamical properties of higher-order fuzzy cognitive maps are analyzed. Particularly, the existence and uniqueness of equilibrium points and the stability are discussed.
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https://doi.org/10.1007/978-3-642-55833-7mization environment, and a dynamic operational structure that facilitates parallelization of the algorithm. We present a description of the proposed algorithm and its application to a knapsack optimization problem.
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