Combining uncertainty and imprecision in models of medical diagnosis
Information Sciences: an International Journal
Dempster Shafer neural network algorithm for land vehicle navigation application
Information Sciences: an International Journal
A novel hybrid fusion algorithm to bridge the period of GPS outages using low-cost INS
Expert Systems with Applications: An International Journal
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The Dempster's rule of combination is a widely used technique to integrate evidence collected from different sources. In this paper, it is shown that the values of certain functions defined on a family of belief structures decrease (by scale factors depending on the degree of conflict) when the belief structures are combined according to the Dempster's rule. Similar results also hold when an arbitrary belief structure is prioritized while computing the combination. Furthermore, the length of the belief-plausibility interval is decreased during a nonhierarchical aggregation of belief structures. Several types of inheritance networks are also proposed each of which allows considerable flexibility in the choice of prioritization