The fuzzy WOD model: decision support under imprecision and relevance

Research output: Working paper › Research

Standard

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

Harvard

Franco de los Rios, CA, Hougaard, JL & Nielsen, K 2013 'The fuzzy WOD model: decision support under imprecision and relevance' Department of Food and Resource Economics, University of Copenhagen. <http://ideas.repec.org/p/foi/msapwp/04_2013.html>

APA

Franco de los Rios, C. A., Hougaard, J. L., & Nielsen, K. (2013). The fuzzy WOD model: decision support under imprecision and relevance. Department of Food and Resource Economics, University of Copenhagen. MSAP Working Paper Series No. 04/2013 http://ideas.repec.org/p/foi/msapwp/04_2013.html

Vancouver

Franco de los Rios CA, Hougaard JL, Nielsen K. The fuzzy WOD model: decision support under imprecision and relevance. Department of Food and Resource Economics, University of Copenhagen. 2013.

Author

Franco de los Rios, Camilo Andres ; Hougaard, Jens Leth ; Nielsen, Kurt. / The fuzzy WOD model : decision support under imprecision and relevance. Department of Food and Resource Economics, University of Copenhagen, 2013. (MSAP Working Paper Series; No. 04/2013).

Bibtex

@techreport{b3e78a3683a54e099b5d7cae26196595,
title = "The fuzzy WOD model: decision support under imprecision and relevance",
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.",
author = "{Franco de los Rios}, {Camilo Andres} and Hougaard, {Jens Leth} and Kurt Nielsen",
note = "MSAP Working Paper Series No. 04/2013",
year = "2013",
language = "English",
series = "MSAP Working Paper Series",
publisher = "Department of Food and Resource Economics, University of Copenhagen",
number = "04/2013",
type = "WorkingPaper",
institution = "Department of Food and Resource Economics, University of Copenhagen",

}

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