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Titlebook: Extremal Fuzzy Dynamic Systems; Theory and Applicati Gia Sirbiladze Book 2013 Springer Science+Business Media, LLC 2013 Dynamic Systems The

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發(fā)表于 2025-3-21 18:53:36 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Extremal Fuzzy Dynamic Systems
副標(biāo)題Theory and Applicati
編輯Gia Sirbiladze
視頻videohttp://file.papertrans.cn/321/320012/320012.mp4
概述Presents a new approach for fuzzy modeling of dynamic processes in the systems sciences research ?.Systematica?lly organizes the topic by covering theory first and applications later.Introduces a soft
叢書名稱IFSR International Series in Systems Science and Systems Engineering
圖書封面Titlebook: Extremal Fuzzy Dynamic Systems; Theory and Applicati Gia Sirbiladze Book 2013 Springer Science+Business Media, LLC 2013 Dynamic Systems The
描述.In this book the author presents a new approach to the study of weakly structurable dynamic systems. It differs from other approaches by considering time as a source of fuzzy uncertainty in dynamic systems. It begins with a thorough introduction, where the general research domain, the problems, and ways of their solutions are discussed. The book then progresses systematically by first covering the theoretical aspects before tackling the applications. In the application section, a software library is described, which contains discrete EFDS identification methods elaborated during fundamental research of the book..Extremal Fuzzy Dynamic Systems. will be of interest to theoreticians interested in modeling fuzzy processes, to researchers who use fuzzy statistics, as well as practitioners from different disciplines whose research interests include abnormal, extreme and monotone processes in nature and society. Graduate students could also find this book useful..
出版日期Book 2013
關(guān)鍵詞Dynamic Systems Theory; Extremal Fuzzy Processes; Extremal Fuzzy Software; Fuzzy Measures; Fuzzy Statist
版次1
doihttps://doi.org/10.1007/978-1-4614-4250-9
isbn_softcover978-1-4899-9660-2
isbn_ebook978-1-4614-4250-9Series ISSN 1574-0463 Series E-ISSN 2698-5497
issn_series 1574-0463
copyrightSpringer Science+Business Media, LLC 2013
The information of publication is updating

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發(fā)表于 2025-3-21 22:02:34 | 只看該作者
Book 2013se fuzzy statistics, as well as practitioners from different disciplines whose research interests include abnormal, extreme and monotone processes in nature and society. Graduate students could also find this book useful..
板凳
發(fā)表于 2025-3-22 03:47:54 | 只看該作者
https://doi.org/10.1007/978-3-540-77303-0ment them with the knowledge of experts, which is usually not the case with the application of the above-mentioned classical methods. Evaluations and conclusions concerning complex dynamic processes are subjective, since they inevitably reflect the individual knowledge of an expert. Relationships be
地板
發(fā)表于 2025-3-22 04:46:15 | 只看該作者
Tuan Nhat Nguyen,Huong Thi Bao Dinhconstructed stream is used as an input trajectory for the finite possibilistic model of EFDS. Based on [118–121, 125–127], the fuzzy recurrent process with possibilistic uncertainty, the source of which is expert knowledge reflections on the states of evolutionary complex systems, is constructed. Th
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發(fā)表于 2025-3-22 11:41:07 | 只看該作者
Stephen Ryan,Sachiko Nakamura,Hayo Reindersl time series of input linguistic variables and its aggregation in the fuzzy time series of a decision linguistic variable, a fuzzy logic control system is used. Obtained results are illustrated by an example showing the fuzzy prediction of decreasing financial risks of the Georgia-based organizatio
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Extended Extremal Monotone Measuresne measures are defined. The notions of extremal fuzzy time moments and intervals are introduced, and their monotone algebraic structures, which form the most important part of the fuzzy instrument of modeling extremal fuzzy dynamic systems, are discussed.
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發(fā)表于 2025-3-23 08:22:49 | 只看該作者
Modeling of Extremal and Controllable Extremal Fuzzy Processesle extremal fuzzy process (CEFP) are given. The dynamics of EFDS is described. Questions as to the ergodicity of EFDSs are considered, using the properties of both extended composition extremal monotone measures and ..-compositions over them (Chapter 4). Sufficient conditions are proved for a stationary CEFP to be ergodic.
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