Decision analysis using belief functions
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TL;DR: A probabilistic interpretation of a simple assumption is offered that disambiguates decision problems represented with belief functions and it is proved that it yields expected values identical to those obtained by a Probabilistic analysis that makes the same assumption.
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About: This article is published in International Journal of Approximate Reasoning. The article was published on 01 Oct 1990. and is currently open access. The article focuses on the topics: Belief structure & Evidential reasoning approach.
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References
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A mathematical theory of evidence
Glenn Shafer
- 01 Jan 1976
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.
14.6K
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Statistical decision functions
Abraham Wald
- 01 Jan 1950
TL;DR: Statistical Decision FunctionsBy Prof. Abraham Wald.
2.3K
•Book
Decision Analysis: Introductory Lectures on Choices Under Uncertainty
Howard Raiffa
- 01 Jan 1968
1.9K
Decision theory in expert systems and artificial intelligence
TL;DR: The potential for addressing problems in representation, inference, knowledge engineering, and explanation within the decision-theoretic framework is surveyed and the belief network and influence diagram representations are presented.
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