反馈文件质量
lgli/A:\compressed\10.1007%2F978-3-540-44792-4.pdf
Classic Works of the Dempster-Shafer Theory of Belief Functions (Studies in Fuzziness and Soft Computing (219)) 🔍
Liping Liu, Ronald R. Yager (auth.), Roland R. Yager, Liping Liu (eds.) Springer-Verlag Berlin Heidelberg, Studies in Fuzziness and Soft Computing, Studies in Fuzziness and Soft Computing 219, 1, 2008
英语 [en] · PDF · 11.6MB · 2008 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc/scihub/zlib · Save
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 and how each paper contributes to the field.
备用文件名
lgrsnf/A:\compressed\10.1007%2F978-3-540-44792-4.pdf
备用文件名
nexusstc/Classic Works of the Dempster-Shafer Theory of Belief Functions/99e601e29d0fac3c5834fdb4d9382890.pdf
备用文件名
scihub/10.1007/978-3-540-44792-4.pdf
备用文件名
zlib/Computers/Computer Science/Liping Liu, Ronald R. Yager (auth.), Roland R. Yager, Liping Liu (eds.)/Classic Works of the Dempster-Shafer Theory of Belief Functions_2096504.pdf
备选标题
Classic works of the Dempster-Shafer theory of belief functions with 43 tables
备用出版商
Springer Spektrum. in Springer-Verlag GmbH
备用出版商
Steinkopff. in Springer-Verlag GmbH
备用出版商
Springer Nature
备用版本
Studies in fuzziness and soft computing, Vol. 219, Berlin Heidelberg New York NY, 2008
备用版本
Studies in fuzziness and soft computing -- v. 219, Berlin, New York, Germany, 2008
备用版本
Springer Nature, Berlin, Heidelberg, 2008
备用版本
1 edition, May 1, 2007
备用版本
Germany, Germany
备用版本
1, 20080122
备用版本
2008, 2007
元数据中的注释
sm22776507
元数据中的注释
{"container_title":"Studies in Fuzziness and Soft Computing","edition":"1","isbns":["3540253815","354044792X","9783540253815","9783540447924"],"last_page":806,"publisher":"Springer","series":"Studies in Fuzziness and Soft Computing 219"}
元数据中的注释
Includes bibliographical references and index.
Electronic reproduction. New York : Springer, 2008. Mode of access: World Wide Web. System requirements: Web browser. Title from title screen (viewed on June 27, 2008). Access may be restricted to users at subscribing institutions.
元数据中的注释
MiU
备用描述
Front Matter....Pages I-XIX
Classic Works of the Dempster-Shafer Theory of Belief Functions: An Introduction....Pages 1-34
Upper and Lower Probabilities Induced by a Multivalued Mapping....Pages 35-56
A Generalization of Bayesian Inference....Pages 57-72
On Random Sets and Belief Functions....Pages 73-104
Non-Additive Probabilities in the Work of Bernoulli and Lambert....Pages 105-116
Allocations of Probability....Pages 117-182
Computational Methods for A Mathematical Theory of Evidence....Pages 183-196
Constructive Probability....Pages 197-216
Belief Functions and Parametric Models....Pages 217-264
Entropy and Specificity in a Mathematical Theory of Evidence....Pages 265-290
A Method for Managing Evidential Reasoning in a Hierarchical Hypothesis Space....Pages 291-310
Languages and Designs for Probability Judgment....Pages 311-344
A Set-Theoretic View of Belief Functions....Pages 345-374
Weights of Evidence and Internal Conflict for Support Functions....Pages 375-410
A Framework for Evidential-Reasoning Systems....Pages 411-418
Epistemic Logics, Probability, and the Calculus of Evidence....Pages 419-434
Implementing Dempster’s Rule for Hierarchical Evidence....Pages 435-448
Some Characterizations of Lower Probabilities and Other Monotone Capacities through the use of Möbius Inversion....Pages 449-476
Axioms for Probability and Belief-Function Propagation....Pages 477-498
Generalizing the Dempster–Shafer Theory to Fuzzy Sets....Pages 499-528
Bayesian Updating and Belief Functions....Pages 529-554
Belief-Function Formulas for Audit Risk....Pages 555-576
Decision Making Under Dempster–Shafer Uncertainties....Pages 577-618
Belief Functions: The Disjunctive Rule of Combination and the Generalized Bayesian Theorem....Pages 619-632
Representation of Evidence by Hints....Pages 633-664
Combining the Results of Several Neural Network Classifiers....Pages 665-681
The Transferable Belief Model....Pages 683-692
A k -Nearest Neighbor Classification Rule Based on Dempster-Shafer Theory....Pages 693-736
Logicist Statistics II: Inference....Pages 737-760
Back Matter....Pages 761-786
....Pages 787-806
备用描述
<p><p>this Book Brings Together A Collection Of Classic Research Papers On The Dempster-shafer Theory Of Belief Functions. 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. The Carefully Selected 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 And How Each Paper Contributes To The Field.</p>
开源日期
2013-08-01
更多信息……

🚀 快速下载

成为会员以支持书籍、论文等的长期保存。为了感谢您对我们的支持，您将获得高速下载权益。❤️
如果您在本月捐款，您将获得双倍的快速下载次数。

🐢 低速下载

由可信的合作方提供。 更多信息请参见常见问题解答。 （可能需要验证浏览器——无限次下载！）

所有选项下载的文件都相同，应该可以安全使用。即使这样，从互联网下载文件时始终要小心。例如，确保您的设备更新及时。
显示外部下载
  • 对于大文件，我们建议使用下载管理器以防止中断。
    推荐的下载管理器：JDownloader
  • 您将需要一个电子书或 PDF 阅读器来打开文件，具体取决于文件格式。
    推荐的电子书阅读器：Anna的档案在线查看器、ReadEra和Calibre
  • 使用在线工具进行格式转换。
    推荐的转换工具：CloudConvert和PrintFriendly
  • 您可以将 PDF 和 EPUB 文件发送到您的 Kindle 或 Kobo 电子阅读器。
    推荐的工具：亚马逊的“发送到 Kindle”和djazz 的“发送到 Kobo/Kindle”
  • 支持作者和图书馆
    ✍️ 如果您喜欢这个并且能够负担得起，请考虑购买原版，或直接支持作者。
    📚 如果您当地的图书馆有这本书，请考虑在那里免费借阅。