The choice of generalized Dempster-Shafer rules for aggregating belief functions

DOI10.1016/j.ijar.2014.10.002zbMath1388.68262OpenAlexW2004823538MaRDI QIDQ473379

Andrey G. Bronevich, Igor N. Rozenberg

Publication date: 24 November 2014

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ijar.2014.10.002

zbMATH Keywords

belief functionsgeneralized Dempster-Shafer rulesimprecision indicesuncertainty in information

Mathematics Subject Classification ID

Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (9)

The Extension of Imprecise Probabilities Based on Generalized Credal Sets ⋮ The Qualitative Characteristics of Combining Evidence with Discounting ⋮ Measures of conflict, basic axioms and their application to the clusterization of a body of evidence ⋮ The Kantorovich Problem and Wasserstein Metric in the Theory of Belief Functions ⋮ Selecting strategic partner for tax information systems based on weight learning with belief structures ⋮ The measurement of relations on belief functions based on the Kantorovich problem and the Wasserstein metric ⋮ Unnamed Item ⋮ Imprecision indices: axiomatic, properties and applications ⋮ The contradiction between belief functions: its description, measurement, and correction based on generalized credal sets

Cites Work

• Idempotent conjunctive combination of belief functions: extending the minimum rule of possibility theory
• Combining dependent evidential bodies that share common knowledge
• Belief functions combination without the assumption of independence of the information sources
• Measures of uncertainty for imprecise probabilities: an axiomatic approach
• On the Dempster-Shafer framework and new combination rules
• Some characterizations of lower probabilities and other monotone capacities through the use of Möbius inversion
• Fuzzy set connectives as combinations of belief structures
• Conjunctive and disjunctive combination of belief functions induced by nondistinct bodies of evidence
• Analyzing the degree of conflict among belief functions
• Minimax tests and the Neyman-Pearson lemma for capacities
• Uncertainty and Information
• Cautious Conjunctive Merging of Belief Functions
• Can the Minimum Rule of Possibility Theory Be Extended to Belief Functions?

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