Structuring and assessing large and complex decision problems using MCDA

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    Abstract

    This paper presents an approach for the structuring and assessing of large and complex decision problems using multi-criteria decision analysis (MCDA). The MCDA problem is structured in a decision tree and assessed using the REMBRANDT technique featuring a procedure for limiting the number of pair wise comparisons. A case study dealing with the structuring and prioritisation of projects from a large pool with limited funds is used for illustrating the approach. Finally, strengths and weaknesses in the MCDA approach are discussed and conclusions are made.
    Original languageEnglish
    Publication date2010
    Publication statusPublished - 2010
    Event24th European Conference on Operational Research - Lisbon, Portugal
    Duration: 11 Jul 201014 Jul 2010
    Conference number: 24

    Conference

    Conference24th European Conference on Operational Research
    Number24
    Country/TerritoryPortugal
    CityLisbon
    Period11/07/201014/07/2010

    Keywords

    • Multi-Criteria Decision Analysis (MCDA)
    • Decision Trees
    • REMBRANDT

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