In decision analysis, difficulties of obtaining complete information about model parameters make it advisable to seek robust solutions that perform reasonably well across the full range of feasible parameter values. In this paper, we develop the Robust Portfolio Modeling (RPM) methodology which extends Preference Programming methods into portfolio problems where a subset of project proposals ar...

The R&D has been recognized as critical method to take competitiveness by not only companies but also nations with its value creation such as patent value and new product. Therefore, R&D has been a decision maker's burden in that it is hard to decide how much money to invest, how long time one should spend, and what technology to develop which means it accompanies resources such as budget, time...

This paper generalizes the traditional Mean-Variance method in portfolio analysis when asset returns are assumed to be jointly stable. An-stable eecient frontier is computed and compared to the classical Gaussian one. The eecient frontier computed from this analysis model dominates the one deened in terms of the Markowitz portfolio selection model criterion. Choix optimal de portefeuille dans u...

Funding agencies and large public scientific institutions are increasingly using the term “research portfolio” as a means of characterising their research. While portfolios have long been used as a heuristic for managing corporate R&D (i.e., R&D aimed at gaining tangible economic benefits), they remain ill-defined in a science policy context where research is aimed at achieving societal outcome...