In this paper we adopt the geometric approach to the theory of evidence to study the geometric counterparts of the plausibility functions, or upper probabilities. The computation ...
In this paper, we propose a geometric approach to the theory of evidence based on convex geometric interpretations of its two key notions of belief function (b.f.) and Dempster...
An evidence theoretic classification method is proposed in this paper. In order to classify a pattern we consider its neighbours, which are taken as parts of a single source of ev...
In this paper we present a new approach to incremental user recognition in fuzzy environments where user classification is updated within an epistemological model. We extend Einho...
Jonathan Rossiter, Tru H. Cao, Trevor P. Martin, J...
A standard intuition underlying traditional accounts of belief change is the principle of minimal change. In this paper we introduce a novel account of belief change in which the ...
James P. Delgrande, Abhaya C. Nayak, Maurice Pagnu...