A new class fusion rule for solving Blackman’s Association Problem

Abstract

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.