Decision theory: an introduction to the mathematics of rationality
Decision theory: an introduction to the mathematics of rationality
An introduction to differential evolution
New ideas in optimization
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
New Multiobjective Metaheuristic Solution Procedures for Capital Investment Planning
Journal of Heuristics
The micro genetic algorithm 2: towards online adaptation in evolutionary multiobjective optimization
EMO'03 Proceedings of the 2nd international conference on Evolutionary multi-criterion optimization
Hi-index | 0.00 |
In this paper we propose an interactive algorithm for the selection of portfolios of research and development (R&D) projects in public organizations based on a bi-criteria optimization model, the need for such a model arises when the decision maker (DM) does not trust enough on the portfolio quality measure. This algorithm efficiently exploits the structure and nature of the problem to support the DM. An interesting proposal is also the representation of a portfolio as a set of "rules of support/rejection"; in this way the DM can not only valuate the portfolio by its numerical measures but also compare against his/her beliefs in a way that is more natural for him, which also allows for supporting with more arguments the solution obtained so far. Rough set methodology is employed for rule discovering.