Classic Works of the Dempster-Shafer Theory of Belief Functions / Edition 1

Classic Works of the Dempster-Shafer Theory of Belief Functions / Edition 1

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by Ronald R. Yager, Liping Liu
     
 

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

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Overview

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.

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Product Details

ISBN-13:
9783540253815
Publisher:
Springer Berlin Heidelberg
Publication date:
02/25/2008
Series:
Studies in Fuzziness and Soft Computing Series, #219
Edition description:
2008
Pages:
806
Product dimensions:
6.40(w) x 9.30(h) x 2.00(d)

Table of Contents

From the contents: Classic Works of the Dempster-Shafer Theory of Belief Functions: An Introduction.- New Methods for Reasoning toward Posterior Distributions based on Sample Data (1966).- Upper and Lower Probability Induced by a Multivalued Mapping (1967).- A Generalization of Bayesian Inference (1968).- On Random Sets and Belief Functions (1978) .- Non-additive Probabilities in the Work of Bernoulli and Lambert (1978) .- Allocations of Probability (1978).- Computational Methods for a Mathematical Theory of Evidence (1981).- Constructive Probability (1981).- Belief Functions and Parametric Models (1982) .- Entropy and Specificity in a Mathematical-Theory of Evidence (1983) .- A Method for Managing Evidential Reasoning in a Hierarchical Hypothesis Space (1985).- Languages and Designs for Probability Judgment (1985) .- A Set-Theoretic View of Belief Functions: Logical Operations and Approximations by Fuzzy Sets (1986).- Weights of Evidence and Internal Conflict for Support Functions (1986).

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