An approach providing fast reduction of the full ignorance in the target identification process is proposed. It uses the new Dezert-Smarandache theory (DSmT) for plausible and paradoxical reasoning, combined with fuzzy set theory. The approach utilizes the information from the adjoint sensor and the additional information obtained from a priori defined objective and subjective considerations. A...

Brief introductions to both Dempster-Shafer and DSm theories are presented. Classical belief conditioning is recalled and generalized to DSm hyper-power sets. Relation of generalization of classic conditioning rules to belief conditioning defined in DSmT is discussed. c ©2008 World Academic Press, UK. All rights reserved.

This chapter presents the DSm Field and Linear Algebra of Refined Labels (FLARL) in DSmT framework in order to work precisely with qualitative labels for information fusion. We present and justify the basic operators on qualitative labels (addition, subtraction, multiplication, division, root, power, etc).

In this chapter, we examine several issues for ordering or partially ordering elements of hyper-power sets involved in the DSmT. We will show the benefit of some of these issues to obtain a nice and interesting structure of matrix representation of belief functions. 3.

The purpose of this paper is to present a concept of so called ‘intelligent consultant’ – that is a tool that provides C&C system operator a support in case the gathered information (acquired from observation means) is incomplete, imprecise or even conflicted. It is the intention of the authors to focus on the methodological aspect of the problem which may be formed as: Does Dezert-Smarandache ...