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An Algorithm for Quasi-Associative and Quasi-Markovian Rules of Combination in Information Fusion

Florentin Smarandache, Jean Dezert

Abstract


In this paper one proposes a simple algorithm of combining the fusion rules, those rules which first use the conjunctive rule and then the transfer of conflicting mass to the non-empty sets, in such a way that they gain the property of associativity and fulfill the Markovian requirement for dynamic fusion. Also, a new fusion rule, SDL-improved, is presented.

Keywords


Conjunctive rule, partial and total conflicts, Dempster’s rule, Yager’s rule,TBM, Dubois-Prade’s rule, Dezert-Smarandache classic and hybrid rules, SDL-improved rule, quasi-associative, quasi-Markovian, fusion algorithm.

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