The Fuzzy WOD Model: Decision Support under Imprecision and Relevance

Camilo Franco, Jens Hougaard () and Kurt Nielsen
Additional contact information
Kurt Nielsen: Department of Food and Resource Economics, University of Copenhagen

No 04_2013, MSAP Working Paper Series from University of Copenhagen, Department of Food and Resource Economics

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.

Keywords: weighted overlap dominance; outranking; fuzzt data; interval imprecision; relevance ranking (search for similar items in EconPapers)
Pages: 16 pages
Date: 2013-10
New Economics Papers: this item is included in nep-cdm
References: Add references at CitEc
Citations:

Downloads: (external link)
http://okonomi.foi.dk/workingpapers/MSAPpdf/MSAP2013/MSAP_WP04_2013.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:foi:msapwp:04_2013

Access Statistics for this paper

More papers in MSAP Working Paper Series from University of Copenhagen, Department of Food and Resource Economics Contact information at EDIRC.
Bibliographic data for series maintained by Geir Tveit ().