Download or read book A Simple View of the Dempster Shafer Theory of Evidence and Its Implications for the Rule of Combination written by University of California, Berkeley. Cognitive Science Program and published by . This book was released on 1985 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book On The Validity of Dempster Shafer Theory written by Jean Dezert and published by Infinite Study. This book was released on 2012-11-01 with total page 6 pages. Available in PDF, EPUB and Kindle. Book excerpt: We challenge the validity of Dempster-Shafer Theory by using an emblematic example to show that DS rule produces counter-intuitive result. Further analysis reveals that the result comes from a understanding of evidence pooling which goes against the common expectation of this process. Although DS theory has attracted some interest of the scientific community working in information fusion and artificial intelligence, its validity to solve practical problems is problematic, because it is not applicable to evidences combination in general, but only to a certain type situations which still need to be clearly identified.
Download or read book The Simple View of the Dempster Shafer Theory of Evidence and Its Implication for the Rule of Combination written by Lotfi Asker Zadeh and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book A Simple View of the Dempster Shafer Theory of Evidence written by University of California, Berkeley. Cognitive Science Program and published by . This book was released on 1984 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Generalized combination rule for evidential reasoning approach and Dempster Shafer theory of evidence written by Yuan-Wei Du and published by Infinite Study. This book was released on with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Dempster–Shafer (DS) theory of evidence can combine evidence with one parameter. The evidential reasoning (ER) approach is an extension of DS theory that can combine evidence with two parameters (weights and reliabilities). However, it has three infeasible aspects: reliability dependence, unreliability effectiveness, and intergeneration inconsistency.
Download or read book A Mathematical Theory of Hints written by Jürg Kohlas and published by . This book was released on 1995 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Evidence Theory and Its Applications written by Jiwen W. Guan and published by . This book was released on 1991 with total page 692 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to evidence theory and its applications is presented in this book. It is based on the important Dempster-Shafer theory, which significantly generalizes classic Bayesian statistics and has proved to be useful in a variety of applications. The aim of the volume is to bring the theory up to date by focusing, in particular, on key work by Shafer and Logan as well as on some of the authors' own contributions. as: artificial intelligence, expert systems, information systems, computer science, decision making, problem solving, business management, statistics, and mathematics. This systematic self-contained description of evidence theory based on set theory is suitable for both lectures and self-study and should serve to strengthen the reader's background and problem-solving abilities.
Download or read book Special Issue on the Dempster Shafer Theory of Evidence written by Liping Liu and published by . This book was released on 2003 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Dempster Shafer Theory of Evidence in Reasoning written by Enrique Cortés-Rello and published by . This book was released on 1988 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Dempster Shafer Theory written by Piero P. Bonissone and published by . This book was released on 1996 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book A Mathematical Theory of Evidence written by Glenn Shafer and published by Princeton University Press. This book was released on 2020-06-30 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Both in science and in practical affairs we reason by combining facts only inconclusively supported by evidence. Building on an abstract understanding of this process of combination, this book constructs a new theory of epistemic probability. The theory draws on the work of A. P. Dempster but diverges from Depster's viewpoint by identifying his "lower probabilities" as epistemic probabilities and taking his rule for combining "upper and lower probabilities" as fundamental. The book opens with a critique of the well-known Bayesian theory of epistemic probability. It then proceeds to develop an alternative to the additive set functions and the rule of conditioning of the Bayesian theory: set functions that need only be what Choquet called "monotone of order of infinity." and Dempster's rule for combining such set functions. This rule, together with the idea of "weights of evidence," leads to both an extensive new theory and a better understanding of the Bayesian theory. The book concludes with a brief treatment of statistical inference and a discussion of the limitations of epistemic probability. Appendices contain mathematical proofs, which are relatively elementary and seldom depend on mathematics more advanced that the binomial theorem.
Download or read book Tactical Evidential Reasoning an Application of the Dempster Shafer Theory Evidence written by William H. Cleckner IV. and published by . This book was released on 1985 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Empirical Studies in the Application of Dempster Shafer Belief Functions written by James Itzhak Golden and published by . This book was released on 1993 with total page 644 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book A Mathematical Theory of Evidence written by Glenn Shafer and published by . This book was released on 1976 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: Degrees of belief; Dempster's rule of combination; Simple and separable support functions; The weights of evidence; Compatible frames of discernment; Support functions; The discernment of evidence; Quasi support functions; Consonance; Statistical evidence; The dual nature of probable reasoning.
Download or read book A Statistical Viewpoint on the Theory of Evidence Revision written by Robert A. Hummel and published by . This book was released on 1986 with total page 25 pages. Available in PDF, EPUB and Kindle. Book excerpt: This document describes a viewpoint on the Dempster/Shafer Theory of Evidence, and provide an interpretation which regards the combination formulas as statics of the opinions of experts. This is done by introducing spaces with binary operations that are simpler to interpret or simpler to implement than the standard combination formula, and showing that these spaces can be mapped homomorphically onto the Dempster/Shafer theory of evidence space. The experts in the space of opinions of experts combine information in a Bayesian fashion. Presented are alternative spaces for the combination of evidence suggested by this viewpoint.
Download or read book On the Validity of Dempster s Rule of Combination of Evidence written by L. A. Zadeh and published by . This book was released on 1979 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Classic Works of the Dempster Shafer Theory of Belief Functions written by Ronald R. Yager and published by Springer. This book was released on 2008-01-22 with total page 813 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a collection of classic research papers on the Dempster-Shafer theory of belief functions. The book is 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 book includes a foreword reflecting the development of the theory in the last forty years.
