A Novel D-S Combination Method for Interval-valued Evidences

Abstract

D-S evidence theory is widely applied to the fields of information fusion, pattern recognition, decision analysis and other fields. When information are given as interval numbers with high conflicting evidences, traditional combinations rules may result in antinomy that some evidences are discarded while conflict factor is zero. To avoid this inconsequence, a method of disjointing algorithm is proposed to reallocate the focal elements and their basic probability assignments for intersecting intervals. Then the weighted average method is used to combine the evidences. Simulation results show that the proposed method can get more reasonable results in combining intervalvalued evidences.

Development of a technology of structuring group expert judgments under various types of uncertainty

“…For the aggregation of interval expert assessments, it is recommended to use one of the combination rules in the theory of evidence [17][18][19]. When choosing a combination rule, it is necessary to prioritize a number of criteria for which one or another combination rule will be evaluated.…”