A balance model for evaluating firms for acquisition
Management Science
A model for making project funding decisions at the National Cancer Institute
Operations Research
A user-oriented implementation of the ELECTRE-TRI method integrating preference elicitation support
Computers and Operations Research - Special issue on artificial intelligence and decision support with multiple criteria
Inferring an ELECTRE TRI Model from Assignment Examples
Journal of Global Optimization
Developing a projects evaluation system based on multiple attribute value theory
Computers and Operations Research
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The paper focuses on portfolio selection problems which aim at selecting a subset of alternatives considering not only the performance of the alternatives evaluated on multiple criteria, but also the performance of portfolio as a whole, on which balance over alternatives on specific attributes is required by the Decision Makers (DMs). We propose a two-level method to handle such decision situation. First, at the individual level, the alternatives are evaluated by the sorting model Electre Tri which assigns alternatives to predefined ordered categories by comparing alternatives to profiles separating the categories. The DMs' preferences on alternatives are expressed by some assignment examples they can provide, which reduces the DMs' cognitive efforts. Second, at the portfolio level, the DMs' preferences express requirements on the composition of portfolio and are modeled as constraints on category size. The method proceeds through the resolution of a Mixed Integer Program (MIP) and selects a satisfactory portfolio as close as possible to the DMs' preference. The usefulness of the proposed method is illustrated by an example which integrates a sorting model with assignment examples and constraints on the portfolio definition. The method can be used widely in portfolio selection situation where the decision should be made taking into account the performances of individual alternatives and portfolio simultaneously.