Papers by Albena Tchamova
In this chapter we analyze the performances of a new
probabilistic belief transformation, denoted... more In this chapter we analyze the performances of a new
probabilistic belief transformation, denoted DSmP, for the sequential estimation of target ID from classifier outputs in the Target Type Tracking problem (TTT).
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This small chapter presents an approach providing fast
reduction of total ignorance in the proces... more This small chapter presents an approach providing fast
reduction of total ignorance in the process of target identification. It utilizes the recently defined fusion rule based on fuzzy T-conorm/Tnorm operators, as well as all the available information from the adjoint sensor and additional information obtained from the a priori
defined objective and subjective considerations, concerning relationships between the attribute components at different levels of abstraction.
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This chapter presents a new approach for solving the
paradoxical Blackman’s association problem. ... more This chapter presents a new approach for solving the
paradoxical Blackman’s association problem. It utilizes a new class of fusion rules based on fuzzy T-conorm/T-norm operators together with Dezert-Smarandache theory and the relative variations of generalized
pignistic probabilities measure of correct associations defined from a partial ordering function of hyper-power set.
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Lecture Notes in Computer Science, 2003
The objective of this paper is to present an approach for targets’ behaviour tendency estimation.... more The objective of this paper is to present an approach for targets’ behaviour tendency estimation. An algorithm for target behaviour tracking is developed and evaluated. It is based on Fuzzy Logic principles applied to conventional passive radar amplitude measurements. A set of fuzzy models is used to describe the tendencies of target behaviour. A noise reduction procedure is applied. The
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In this paper, we propose a real experiment for building and realizing the physical combination o... more In this paper, we propose a real experiment for building and realizing the physical combination of basic belief assignments associated with two independent, informative, and equireliable sources of information, according to the famous Zadeh's example. This experiment is based on a particular electronic circuit box, called Z-box, enabling to observe and to check the fusion result experimentally. Our experimental results clearly invalidate the fusion result obtained by Dempster-Shafer's rule of combination and show that it is physically possible to consider in a natural fusion process two independent and equi-reliable sources of evidences at same time, even if they appear as highly conflicting in Shafer's sense.
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Sixth International Conference of Information Fusion, 2003. Proceedings of the, 2003
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Sixth International Conference of Information Fusion, 2003. Proceedings of the, 2003
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In this paper, we analyze Bayes fusion rule in details from a fusion standpoint, as well as the e... more In this paper, we analyze Bayes fusion rule in details from a fusion standpoint, as well as the emblematic Dempster’s rule of combination introduced by Shafer in his Mathematical Theory of evidence based on belief functions. We propose a new interesting formulation of Bayes rule and point out some of its properties. A deep analysis of the compatibility of Dempster’s fusion rule with Bayes fusion rule is done. We show that Dempster’s rule is compatible with Bayes fusion rule only in the very particular case where the basic belief assignments (bba’s) to combine are Bayesian, and when the prior information is modeled either by a uniform probability measure, or by a vacuous bba. We show clearly that Dempster’s rule becomes incompatible with Bayes rule in the more general case where the prior is truly informative (not uniform, nor vacuous). Consequently, this paper proves that Dempster’s rule is not a generalization of Bayes fusion rule.
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In this paper, we provide a deep examination of the main bases of Subjective Logic (SL) and revea... more In this paper, we provide a deep examination of the main bases of Subjective Logic (SL) and reveal serious problems with them. A new interesting alternative way for building a normal coarsened basic belief assignment from a refined one is also proposed. The defects in the SL fusion rule and the problems in the link between opinion and Beta probability density functions are also analyzed. Some numerical examples and related analyses are provided to justify our viewpoints.
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The objective of this paper is to present an approach for target tracking, which incorporates the... more The objective of this paper is to present an approach for target tracking, which incorporates the advanced conce pt of generalized data (kinematics and attribute) association t o improve track maintenance performance in complicated situations ( closely spaced targets), when kinematics data are insufficient for c orrect decision making. It uses Global Nearest Neighbour-like app roach and Munkres algorithm to
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2005 7th International Conference on Information Fusion, 2005
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Information & Security: An International Journal, 2006
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2013 IEEE INISTA, 2013
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Papers by Albena Tchamova
probabilistic belief transformation, denoted DSmP, for the sequential estimation of target ID from classifier outputs in the Target Type Tracking problem (TTT).
reduction of total ignorance in the process of target identification. It utilizes the recently defined fusion rule based on fuzzy T-conorm/Tnorm operators, as well as all the available information from the adjoint sensor and additional information obtained from the a priori
defined objective and subjective considerations, concerning relationships between the attribute components at different levels of abstraction.
paradoxical Blackman’s association problem. It utilizes a new class of fusion rules based on fuzzy T-conorm/T-norm operators together with Dezert-Smarandache theory and the relative variations of generalized
pignistic probabilities measure of correct associations defined from a partial ordering function of hyper-power set.
probabilistic belief transformation, denoted DSmP, for the sequential estimation of target ID from classifier outputs in the Target Type Tracking problem (TTT).
reduction of total ignorance in the process of target identification. It utilizes the recently defined fusion rule based on fuzzy T-conorm/Tnorm operators, as well as all the available information from the adjoint sensor and additional information obtained from the a priori
defined objective and subjective considerations, concerning relationships between the attribute components at different levels of abstraction.
paradoxical Blackman’s association problem. It utilizes a new class of fusion rules based on fuzzy T-conorm/T-norm operators together with Dezert-Smarandache theory and the relative variations of generalized
pignistic probabilities measure of correct associations defined from a partial ordering function of hyper-power set.