The multi-objective optimization paradigm prescribes that a multi-objective optimization problem should be solved in two steps executed in sequence. First an approximation of the Pareto set is determined, that contains as many non-dominated solutions as possible. Secondly, a solution is chosen...

The objective of this article is to derive the density function and cumulative distribution function for random variables which may be written as the sum of independent (either identical or non-identical) zerotruncated Poisson random variables. The obtained expressions may be particularly useful...

Group Decision Support Systems usually use a multiple criteria method as an engine to obtain the group’s ranking of the alternatives. Intermediate results of this multiple criteria method are aggregated over the different group members to come to a final result. Another approach consists of...