AIMar 13, 2013

The Nature of the Unnormalized Beliefs Encountered in the Transferable Belief Model

arXiv:1303.5430v1108 citations
Originality Synthesis-oriented
AI Analysis

This work addresses a theoretical issue in belief function theory, which is incremental as it builds upon existing models to clarify specific mathematical aspects.

The paper analyzes the nature of unnormalized belief functions that arise when positive basic belief masses are allocated to the empty set in the transferable belief model, focusing on understanding their properties and implications.

Within the transferable belief model, positive basic belief masses can be allocated to the empty set, leading to unnormalized belief functions. The nature of these unnormalized beliefs is analyzed.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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