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Journal ArticleDOI

Weights of evidence and internal conflict for support functions

Zhang Lian-wen
- 01 Apr 1986 - 
- Vol. 38, Iss: 2, pp 205-212
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TLDR
This paper shows that the extension to support functions can be carried out whether or not the weight-of-conflict conjecture is true.
About
This article is published in Information Sciences.The article was published on 1986-04-01. It has received 6 citations till now. The article focuses on the topics: Conjecture & Support function.

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Citations
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Journal ArticleDOI

Perspectives on the theory and practice of belief functions

TL;DR: The place of belief functions within the broader topic of probability and the place of probability within the larger set of formalisms used by artificial intelligence are considered.
Journal ArticleDOI

Propagating belief functions in qualitative Markov trees

TL;DR: It is shown that efficient implementation of Dempster's rule is possible if the questions or partitions for which the authors have evidence are arranged in a qualitative Markov tree—a tree in which separations indicate relations of qualitative conditional independence.
Journal ArticleDOI

A Mathematical Theory of Evidence turns 40

TL;DR: The book that launched the Dempster-Shafer theory of belief functions appeared 40 years ago and this intellectual autobiography looks back on how it came to be and how its ideas played out in later work.
Journal ArticleDOI

A new combination of evidence based on compromise

TL;DR: A new model of combination and a new rule of combination called combination by compromise as a consensus generator are proposed and it is suggested that the proposed combination produces the most preferable results among them from the viewpoints of consensus generation.
Proceedings ArticleDOI

Combining Belief Functions Based on Three Mechanisms: Average, Multiplication and Intersection

TL;DR: In this paper, a new combining method integrating three mechanisms, i.e., average, multiplication and intersection, is proposed to avoid counterintuitive results, achieve convergence and lead to more satisfactory results when compared to some existing approaches.
References
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Book

A mathematical theory of evidence

Glenn Shafer
TL;DR: This book develops 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.