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Titlebook: Analysis and Decision Making in Uncertain Systems; Zdzislaw Bubnicki Book 2004 Springer-Verlag London 2004 Analysis.computer.decision supp

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期刊全稱Analysis and Decision Making in Uncertain Systems
影響因子2023Zdzislaw Bubnicki
視頻videohttp://file.papertrans.cn/157/156174/156174.mp4
發(fā)行地址New concepts are presented and developed by the author in a systematic, unified framework, with a unique special emphasis on uncertain control systems.Includes supplementary material:
學(xué)科分類Communications and Control Engineering
圖書(shū)封面Titlebook: Analysis and Decision Making in Uncertain Systems;  Zdzislaw Bubnicki Book 2004 Springer-Verlag London 2004 Analysis.computer.decision supp
影響因子Problems, methods and algorithms of decision making based on an uncertain knowledge now create a large and intensively developing area in the field of knowledge-based decision support systems. The main aim of this book is to present a unified, systematic description of analysis and decision problems in a wide class of uncertain systems described by traditional mathematical models and by relational knowledge representations. A part of the book is devoted to new original ideas introduced and developed by the author: the concept of uncertain variables and the idea of a learning process consisting in knowledge validation and updating. In a certain sense this work may be considered as an extension of the author‘s monograph Uncertain Logics, Variables and Systems (Springer-Verlag, 2002). In this book it has been shown how the different descriptions of uncertainty based on random, uncertain and fuzzy variables may be treated uniformly and applied as tools for general analysis and decision problems, and for specific uncertain systems and problems (dynamical control systems, operation systems, knowledge-based pattern recognition under uncertainty, task allocation in a set of multiprocessors
Pindex Book 2004
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Communications and Control Engineeringhttp://image.papertrans.cn/a/image/156174.jpg
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The Importance of Detail: TolerancesIn the previous chapters the decision problems for non-deterministic plants with different descriptions of the uncertainty (different forms of the knowledge representation) have been considered. The typical procedure of finding the deterministic decision algorithm has been as follows:
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Parametric Optimization of Decision Systems,In the previous chapters the decision problems for non-deterministic plants with different descriptions of the uncertainty (different forms of the knowledge representation) have been considered. The typical procedure of finding the deterministic decision algorithm has been as follows:
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978-1-84996-909-3Springer-Verlag London 2004
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