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The Fuzzy WOD Model: Decision Support under Imprecision and Relevance

Author

Listed:
  • Camilo Franco

    (Department of Food and Resource Economics, University of Copenhagen)

  • Jens Leth Hougaard

    (Department of Food and Resource Economics, University of Copenhagen)

  • Kurt Nielsen

    (Department of Food and Resource Economics, University of Copenhagen)

Abstract

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.

Suggested Citation

  • Camilo Franco & Jens Leth Hougaard & Kurt Nielsen, 2013. "The Fuzzy WOD Model: Decision Support under Imprecision and Relevance," MSAP Working Paper Series 04_2013, University of Copenhagen, Department of Food and Resource Economics.
    • Handle: RePEc:foi:msapwp:04_2013
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    Keywords

    weighted overlap dominance; outranking; fuzzt data; interval imprecision; relevance ranking;
    All these keywords.

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