AILOAug 14, 2019

Toward a Dempster-Shafer theory of concepts

arXiv:1908.05145v227 citations
AI Analysis

This work addresses a theoretical gap in uncertainty reasoning for formal concept analysis, but it appears incremental as it generalizes existing theory rather than introducing a new paradigm.

The paper tackles the problem of extending Dempster-Shafer theory from predicates to formal concepts, resulting in a representation of conceptual belief functions as inner measures of probability functions and a rule of combination for belief functions on formal concepts.

In this paper, we generalize the basic notions and results of Dempster-Shafer theory from predicates to formal concepts. Results include the representation of conceptual belief functions as inner measures of suitable probability functions, and a Dempster-Shafer rule of combination on belief functions on formal concepts.

Foundations

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

Your Notes