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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(More)
Robust portfolio modeling (RPM) [Liesiö, J., Mild, P., Salo, A., 2007. Preference programming for robust portfolio modeling and project selection. European Journal of Operational Research 181, 1488–1505] supports project portfolio selection in the presence of multiple evaluation criteria and incomplete information. In this paper, we extend RPM to account(More)
Project portfolios for the annual maintenance of infrastructure assets may contain dozens of projects which are selected out of hundreds of candidate projects. When selecting these projects, it is necessary to account for multiple evaluation criteria, project interdependencies, and uncertainties about project performance as well as financial and other(More)
This thesis is concerned with the problem of choosing a subset of projects, a project portfolio, from a large set of multicriteria proposals subject to scarce resources. The overall value of each project is modeled through an additive weighting model, and the value of a portfolio is the normalized sum of its constituent projects' values. Various strategic(More)
Robust portfolio modeling (RPM) [Liesiö, J., Mild, P., Salo, A., 2007. Preference programming for robust portfolio modeling and project selection. European Journal of Operational Research 181, 1488–1505] supports project portfolio selection in the presence of multiple evaluation criteria and incomplete information. In this paper, we extend RPM to account(More)
Multicriteria project evaluation and resource allocation decisions are central and recurrent activities in business and public administration alike. These problems are typically characterized by large number of project proposals, portfolio balance requirements and other constraints; they are also often pressed by urgency and limited data availability.(More)
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