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Proceedings Paper

Probabilistic and fuzzy information fusion applied to radar system ranking
Author(s): Laurent Lecornu; Renaud Debon; Wojciech Komorniczak; Basel Solaiman
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Paper Abstract

The decision making systems make use of heterogeneous information to identify an object class or a target, which are affected by various kinds of imperfection. First, information issued from measures (radar measures, images) of an observation is represented by X variables. Generally, on these X variables, each class can be described through a probability distribution function. These decision systems also integrate expert a prior knowledge to assist the decision. Such information is defined by Y variables and is represented by fuzzy membership function. The question is how to combine appropriately these two kinds of data in order to improve the decision process. In this paper, we present a decision model combining probabilistic and fuzzy data. The decision is defined using a fuzzy Bayesian approach, which takes into account these two imperfections. Only two classes are considered using one X variable and one Y variable. Then an extension is proposed to more complicated cases. To validate the interest of this approach, we compare it with the Bayesian classification and fuzzy classification applied separately to synthetic data. In addition, we will see how our approach can be applied to the problem of radar system ranking, on which system resources are limited and as a consequence, decisions about priorities must be taken. Using the system information sources (i.e. probabilistic: radar measurements, fuzzy: prior expert knowledge, evidential), a comparison between Bayesian classification, fuzzy classification, system decision and the proposed approach is presented.

Paper Details

Date Published: 1 April 2003
PDF: 10 pages
Proc. SPIE 5099, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2003, (1 April 2003); doi: 10.1117/12.488375
Show Author Affiliations
Laurent Lecornu, Ecole Nationale Superieure des Telecommunications (United States)
Renaud Debon, Ecole Nationale Superieure des Telecommunications (France)
Wojciech Komorniczak, Military Univ. of Technology (Poland)
Basel Solaiman, Ecole Nationale Superieure des Telecommunications (France)

Published in SPIE Proceedings Vol. 5099:
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2003
Belur V. Dasarathy, Editor(s)

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