23. The method according to claim 2 , wherein the at least one hardware processor further performs: extending a selected measure from among the at least one measure based on a constraint stochastic independence process by: determining that the relationship of constraints κ is admissible and compatible with the selected measure; processing the selected measure subject to the relationship constraints κ to extend the selected measure by computing, for the selected measure, an average of probabilities of allowable sets in the sets of evidences U while taking relationship constraints κ into consideration, the allowable sets specified as stochastically independent by having cardinality equivalent to cardinality of the sets of evidences U and satisfying the relationship constraints κ ; and applying the extended selected measure to map new values to the sets of evidences E.
23. The method according to claim 2 , wherein the at least one hardware processor further performs: extending a selected measure from among the at least one measure based on a constraint stochastic independence process by: determining that the relationship of constraints κ is admissible and compatible with the selected measure; processing the selected measure subject to the relationship constraints κ to extend the selected measure by computing, for the selected measure, an average of probabilities of allowable sets in the sets of evidences U while taking relationship constraints κ into consideration, the allowable sets specified as stochastically independent by having cardinality equivalent to cardinality of the sets of evidences U and satisfying the relationship constraints κ ; and applying the extended selected measure to map new values to the sets of evidences E. 24. The method according to claim 23 , wherein the extended measure is free of any relationship constraints C.