Generalized information theory based on the theory of hints
ECSQARU'11 Proceedings of the 11th European conference on Symbolic and quantitative approaches to reasoning with uncertainty
Generalized information theory for hints
International Journal of Approximate Reasoning
Information-based dissimilarity assessment in Dempster-Shafer theory
Knowledge-Based Systems
A belief classification rule for imprecise data
Applied Intelligence
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In a recent paper, a functional AM (ambiguity measure) is introduced and an attempt is made to show that this functional qualifies as a measure of total aggregated uncertainty in the Dempster-Shafer theory. We show that this attempt fails due to a particular error in the proof of one of the principal theorems in the paper. Some additional remarks are made regarding recent research pertaining to the subject of the discussed paper.