Recently, Hummel and Landy proposed a variation on the Dempster/Shafer theory of evidence that tracks only the first and second order statistics of the opinions of sets of experts. This extension permits the tracking of statistics of probabilistic opinions, however, as opposed to tracking merely Boolean opinions (or possibilities within the "frame of discernment"). Both the Dempster/Shafer form...

Health is very important and valuable for humans, because without good health, every human being will experience difficulties in carrying out their daily activities. Mycetoma disease, also known as fungal infection flesh-eating affects people who live rural or remote areas have limited access to health care medicines. So overcome this problem, we need an expert system that able diagnose mycetom...

This paper presents a supervised classi®cation model integrating fuzzy reasoning and Dempster±Shafer propagation of evidence has been built on top of connectionist techniques to address classi®cation tasks in which vagueness and ambiguity coexist. The salient aspect of the approach is the integration within a neuro-fuzzy system of knowledge structures and inferences for evidential reasoning bas...

and key words This paper presents an historical overview of the evolution of the notion of probability . The different kinds of probability and the opposition between objectivists (or frequencists) and subjectivists are presented . Then we show how some works, following the wor k by Cox, aim at deducing what is called by others axioms of probabilities, from a given set of basic postulates which...

Correctly modelling and reasoning with uncertain information from heterogeneous sources in large-scale systems is critical when the reliability is unknown and we still want to derive adequate conclusions. To this end, context-dependent merging strategies have been proposed in the literature. In this paper we investigate how one such context-dependent merging strategy (originally defined for pos...

We formulate the Dempster-Shafer formalism of belief functions [Shafer 761 in the spirit of logical inference systems. Our formulation (called the belief calculus) explicitly avoids the use of set-theoretic notations. As such, it serves as an alternative for the use of the Dempster-Shafer formalism for uncertain reasoning.