The paper introduces (in our knowledge first) attempt to define the concept of factorization within the Dempster-Shafer theory of evidence. In the same way as in probability theory, the presented concept can support procedures for efficient multidimensional model construction and processing. The main result of this paper is a factorization lemma describing, in the same way as in probability the...

Incidence Calculus and Dempster-Shafer Theory of Evidence are both theories to describe agents' de­ grees of belief in propositions, thus being appropri­ ate to represent uncertainty in reasoning systems. This paper presents a straightforward equivalence proof between some special cases of these theories.

In this paper, an image segmentation method based on Dempster-Shafer evidence theory is proposed. Basic probability assignment (bpa) is estimated in unsupervised way using pixels fuzzy membership degrees derived from image histogram. No assumption is made about the images data distribution. bpa is estimated at pixel level. The effectiveness of the method is demonstrated on synthetic and real im...

We propose an extended relational database model which can model both uncertainty and imprecision in data. This model is based on Dempster-Shafer theory which has become popular in AI as an uncertainty reasoning tool. The definitions of Be1 and Pls functions in Dempster-Shafer theory are extended to compute the beliefs of various comparisons (e.g., equality, less than, etc.) between two basic p...

Cognitive radio (CR) is a promising technology that brings about remarkable improvement in spectrum utilization. To tackle the hidden terminal problem, cooperative spectrum sensing (CSS) which benefits from the spatial diversity has been studied extensively. Since CSS is vulnerable to the attacks initiated by malicious secondary users (SUs), several secure CSS schemes based on Dempster-Shafer t...

How to measure gain from the use of intelligent inference ? How can the complexity of the recognition/ classification task be estimated? What is the type of evidence which best suits an .inference mechanism? These questions are addressed here in their theoretical and methodological aspects. Their practical implications are demonstrated with 'real' crop mapping task. For this purpose, simple rul...