A New Class Fusion Rule for solving Blackman's Association Problem

This paper presents a new approach for solving the paradoxical Blackmanpsilas association problem. It utilizes the recently defined new class fusion rule based on fuzzy T-conorm/T-norm operators together with Dezert-Smarandache theory based, relative variations of generalized pignistic probabilities...

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Bibliographic Details
Main Authors: Tchamova, A., Dezert, J., Smarandache, F.
Format: Conference Proceeding
Language:English
Subjects:
Aggregates
Attribute Data Fusion
Constraint theory
Data Association
Dezert-Smarandache Theory
Diversity reception
Fuzzy operators
Fuzzy reasoning
Information resources
Intelligent systems
Kinematics
Proportional Conflict Redistribution rules
Radar tracking
Refining
Target tracking
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Summary:This paper presents a new approach for solving the paradoxical Blackmanpsilas association problem. It utilizes the recently defined new class fusion rule based on fuzzy T-conorm/T-norm operators together with Dezert-Smarandache theory based, relative variations of generalized pignistic probabilities measure of correct associations, defined from a partial ordering function of hyper-power set. The ability of this approach to solve the problem against the classical Dempster-Shaferpsilas method, proposed in the literature is proven. It is shown that the approach improves the separation power of the decision process for this association problem.
ISSN:1541-1672
1941-1294
DOI:10.1109/IS.2008.4670449