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Titlebook: Classic Works of the Dempster-Shafer Theory of Belief Functions; Roland R. Yager (Dr.),Liping Liu Book 2008 Springer-Verlag Berlin Heidelb

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發(fā)表于 2025-3-21 17:42:27 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Classic Works of the Dempster-Shafer Theory of Belief Functions
編輯Roland R. Yager (Dr.),Liping Liu
視頻videohttp://file.papertrans.cn/228/227042/227042.mp4
概述Collects the key original contributions that are widely recognized in the field of Dempster-Shafer Theory of Belief functions.Authoritative reference in the field of evidential reasoning and an import
叢書名稱Studies in Fuzziness and Soft Computing
圖書封面Titlebook: Classic Works of the Dempster-Shafer Theory of Belief Functions; Roland R. Yager (Dr.),Liping Liu Book 2008 Springer-Verlag Berlin Heidelb
描述.This book brings together a collection of classic research papers on the Dempster-Shafer theory of belief functions. By bridging fuzzy logic and probabilistic reasoning, the theory of belief functions has become a primary tool for knowledge representation and uncertainty reasoning in expert systems. This book will serve as the authoritative reference in the field of evidential reasoning and an important archival reference in a wide range of areas including uncertainty reasoning in artificial intelligence and decision making in economics, engineering, and management. From over 120 nominated contributions, the editors selected 30 papers, which are widely regarded as classics and will continue to make impacts on the future development of the field. The contributions are grouped into seven sections, including conceptual foundations, theoretical perspectives, theoretical extensions, alternative interpretations, and applications to artificial intelligence, decision-making, and statistical inferences. The book also includes a foreword by Dempster and Shafer reflecting the development of the theory in the last forty years, and an introduction describing the basic elements of the theory an
出版日期Book 2008
關(guān)鍵詞Bayesian inference; Mathematica; artificial intelligence; decision making; decision theory; economics; exp
版次1
doihttps://doi.org/10.1007/978-3-540-44792-4
isbn_softcover978-3-642-06478-4
isbn_ebook978-3-540-44792-4Series ISSN 1434-9922 Series E-ISSN 1860-0808
issn_series 1434-9922
copyrightSpringer-Verlag Berlin Heidelberg 2008
The information of publication is updating

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Non-Additive Probabilities in the Work of Bernoulli and Lambert,
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Classic Works of the Dempster-Shafer Theory of Belief Functions
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A Method for Managing Evidential Reasoning in a Hierarchical Hypothesis Space,the mycin system. Finally, we present a new adaptation of the D-S approach that achieves computational efficiency while permitting the management of evidential reasoning within an abstraction hierarchy
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Book 2008ive interpretations, and applications to artificial intelligence, decision-making, and statistical inferences. The book also includes a foreword by Dempster and Shafer reflecting the development of the theory in the last forty years, and an introduction describing the basic elements of the theory an
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Stephen D. Miller,Wilfried Schmidhe real world..Probabilities defined on certain classes of sets of this universe, representing different states of knowledge about the world, have the properties of the major functions of the Dempster-Shafer calculus of evidence: belief functions and mass assignments. The importance of these epistem
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