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＜電子ブック＞
Extremal Fuzzy Dynamic Systems : Theory and Applications / by Gia Sirbiladze
(IFSR International Series in Systems Science and Systems Engineering. ISSN:26985497 ; 28)

版	1st ed. 2013.
出版者	(New York, NY : Springer New York : Imprint: Springer)
出版年	2013
本文言語	英語
大きさ	XXII, 402 p : online resource
著者標目	*Sirbiladze, Gia author SpringerLink (Online service)
件　名	LCSH:System theory LCSH:Control theory LCSH:Computer simulation LCSH:Artificial intelligence LCSH:Measure theory LCSH:Operations research LCSH:Management science FREE:Systems Theory, Control FREE:Computer Modelling FREE:Artificial Intelligence FREE:Measure and Integration FREE:Operations Research, Management Science FREE:Operations Research and Decision Theory
一般注記	Fuzzy Measures and Fuzzy Statistics: Its Probability Representations -- Extended Extremal Fuzzy Measures -- Extended Extremal Fuzzy Measures on Compositional Product of Measurable Spaces -- Modeling of Extremal and Controllable Extremal Fuzzy Processes -- Identification of  Fuzzy-Integral Models of Extremal fuzzy Processes -- Optimization of Continuous Controllable Extremal Fuzzy Processes and the Choice of Decisions -- Problems of States Estimation (Filtration) of Extremal Fuzzy Processes. - Conclusions on the Parts I-VII -- Algorithms and software for Discrete Possibilistic EFDS -- Application  of the Discrete Possibilistic Model  of the EFDS in the Evaluation of  Expert Knowledge Streams -- Application: Forecasting of  Increasing Financial Risks (Credit Risks) of Georgia-based Organization (LTD-“Fractal”) by the Discrete Possibilistic EFDS’s Finite Model.-  General Conclusions -- Bibliography 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 HTTP:URL=https://doi.org/10.1007/978-1-4614-4250-9

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