Franco de los Rios, Camilo Andres3; Hougaard, Jens Leth3; Nielsen, Kurt3
1 Section for Production, Markets and Policy, Department of Food and Resource Economics, Faculty of Science, Københavns Universitet2 Section for Consumption, Bioethics and Governance, Department of Food and Resource Economics, Faculty of Science, Københavns Universitet3 Section for Production, Markets and Policy, Department of Food and Resource Economics, Faculty of Science, Københavns Universitet
Decision support models are required to handle the various aspects of multi-criteria decision problems in order to help the individual understand its possible solutions. In this sense, such models have to be capable of aggregating and exploiting different types of measurements and evaluations in an interactive way, where input data can take the form of uniquely-graded or interval-valued information. Here we explore the Weighted Overlap Dominance (WOD) model from a fuzzy perspective and its outranking approach to decision support and multidimensional interval analysis. Firstly, imprecision measures are introduced for characterizing the type of uncertainty being expressed by intervals, examining at the same time how the WOD model handles both non-interval as well as interval data, and secondly, relevance degrees are proposed for obtaining a ranking over the alternatives. Hence, a complete methodology is presented for ordering and identifying the best alternatives under an interactive procedure that takes into account the natural imprecision and relevance of information.