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arxiv: 1303.1513 · v1 · pith:EX7D32XEnew · submitted 2013-03-06 · 💻 cs.AI

Partially Specified Belief Functions

classification 💻 cs.AI
keywords principlebeliefcommitmentcompletefunctionsminimumprocedurespecified
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This paper presents a procedure to determine a complete belief function from the known values of belief for some of the subsets of the frame of discerment. The method is based on the principle of minimum commitment and a new principle called the focusing principle. This additional principle is based on the idea that belief is specified for the most relevant sets: the focal elements. The resulting procedure is compared with existing methods of building complete belief functions: the minimum specificity principle and the least commitment principle.

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