Structuring and assessing large and complex decision problems using MCDA

    Research output: Contribution to conferenceConference abstract for conferenceResearchpeer-review

    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
    EventEURO XXIV : The 24th European Conference on Operational Research - Lisbon, Portugal
    Duration: 1 Jan 2010 → …

    Conference

    ConferenceEURO XXIV : The 24th European Conference on Operational Research
    CityLisbon, Portugal
    Period01/01/2010 → …

    Keywords

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

    Cite this

    Barfod, M. B. (2010). Structuring and assessing large and complex decision problems using MCDA. Abstract from EURO XXIV : The 24th European Conference on Operational Research, Lisbon, Portugal, .