
TL;DR
This paper identifies a fundamental inconsistency in Dempster-Shafer theory related to belief functions and proposes a new approach to uncertainty management that avoids these issues.
Contribution
The paper reveals an inconsistency in Dempster-Shafer theory and introduces a new method for managing uncertainty that aligns with intuitive ideas but resolves the identified problems.
Findings
Identifies inconsistency in Dempster-Shafer theory
Proposes a new approach for uncertainty management
Avoids fundamental postulate conflicts
Abstract
By analyzing the relationships among chance, weight of evidence and degree of beliefwe show that the assertion "probability functions are special cases of belief functions" and the assertion "Dempster's rule can be used to combine belief functions based on distinct bodies of evidence" together lead to an inconsistency in Dempster-Shafer theory. To solve this problem, we must reject some fundamental postulates of the theory. We introduce a new approach for uncertainty management that shares many intuitive ideas with D-S theory, while avoiding this problem.
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Taxonomy
TopicsMulti-Criteria Decision Making · Bayesian Modeling and Causal Inference · AI-based Problem Solving and Planning
