The fuzzy WOD model: decision support under imprecision and relevance
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The fuzzy WOD model : decision support under imprecision and relevance. / Franco de los Rios, Camilo Andres; Hougaard, Jens Leth; Nielsen, Kurt.
Department of Food and Resource Economics, University of Copenhagen, 2013.Research output: Working paper › Research
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RIS
TY - UNPB
T1 - The fuzzy WOD model
T2 - decision support under imprecision and relevance
AU - Franco de los Rios, Camilo Andres
AU - Hougaard, Jens Leth
AU - Nielsen, Kurt
N1 - MSAP Working Paper Series No. 04/2013
PY - 2013
Y1 - 2013
N2 - This paper extends the Weighted Overlap Dominance (WOD) model (initially presented in J.L. Hougaard, K. Nielsen. Weighted Overlap Dominance - A procedure for interactive selection on multidimensional interval data. Applied Mathematical Modelling 35, 2011, 3958 - 3969), as an outranking approach for decision support and multidimensional interval analysis. First, the original approach is extended using fuzzy set theory which makes it possible to handle both non-interval and interval data. Second, we re-examine the ranking procedure based on semi-equivalence classes and suggest a new complementary ranking procedure. The new ranking procedure introduces relevance degrees for ranking the given set of alternatives. In this way, a complete methodology is presented for identifying recommended solutions that aid the decision-maker when facing a specific problem, by ranking alternatives according to their relevance under imprecise measurements.
AB - This paper extends the Weighted Overlap Dominance (WOD) model (initially presented in J.L. Hougaard, K. Nielsen. Weighted Overlap Dominance - A procedure for interactive selection on multidimensional interval data. Applied Mathematical Modelling 35, 2011, 3958 - 3969), as an outranking approach for decision support and multidimensional interval analysis. First, the original approach is extended using fuzzy set theory which makes it possible to handle both non-interval and interval data. Second, we re-examine the ranking procedure based on semi-equivalence classes and suggest a new complementary ranking procedure. The new ranking procedure introduces relevance degrees for ranking the given set of alternatives. In this way, a complete methodology is presented for identifying recommended solutions that aid the decision-maker when facing a specific problem, by ranking alternatives according to their relevance under imprecise measurements.
M3 - Working paper
T3 - MSAP Working Paper Series
BT - The fuzzy WOD model
PB - Department of Food and Resource Economics, University of Copenhagen
ER -
ID: 61139864