An axiomatic approach to the estimation of interval-valued preferences in multi-criteria decision modeling

Publikation: Konferencebidrag › Paper › Forskning › fagfællebedømt

Standard

An axiomatic approach to the estimation of interval-valued preferences in multi-criteria decision modeling. / Franco de los Ríos, Camilo; Hougaard, Jens Leth; Nielsen, Kurt.

2017. Paper præsenteret ved Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, Otsu, Shiga, Japan.

Publikation: Konferencebidrag › Paper › Forskning › fagfællebedømt

Harvard

Franco de los Ríos, C, Hougaard, JL & Nielsen, K 2017, 'An axiomatic approach to the estimation of interval-valued preferences in multi-criteria decision modeling', Paper fremlagt ved Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, Otsu, Shiga, Japan, 27/06/2017 - 30/06/2017.

APA

Franco de los Ríos, C., Hougaard, J. L., & Nielsen, K. (2017). An axiomatic approach to the estimation of interval-valued preferences in multi-criteria decision modeling. Paper præsenteret ved Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, Otsu, Shiga, Japan.

Vancouver

Franco de los Ríos C, Hougaard JL, Nielsen K. An axiomatic approach to the estimation of interval-valued preferences in multi-criteria decision modeling. 2017. Paper præsenteret ved Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, Otsu, Shiga, Japan.

Author

Franco de los Ríos, Camilo ; Hougaard, Jens Leth ; Nielsen, Kurt. / An axiomatic approach to the estimation of interval-valued preferences in multi-criteria decision modeling. Paper præsenteret ved Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, Otsu, Shiga, Japan.6 s.

Bibtex

@conference{179f72bea776471fb00b2c22bdde2859,
title = "An axiomatic approach to the estimation of interval-valued preferences in multi-criteria decision modeling",
abstract = "In this paper we explore multi-dimensional preference estimation from imprecise (interval) data. Focusing on different multi-criteria decision models, such as PROMETHEE, ELECTRE, TOPSIS or VIKOR, and their extensions dealing with imprecise data, preference modeling is examined with respect to a suggestedset of axioms. Their performance is evaluated and some specific problems are identified, regarding the satisfaction of the proposed axioms as well as some difficulty on how to properly understand the uncertainty of the interval-valued outcome and its respective preference situation. In consequence, the Weighted Overlap Dominance (WOD) method is examined, which has been explicitly designed for interval data, thus satisfying the proposed axioms, and clearlyidentifying the preference relational situation for all pairs of alternatives.",
author = "{Franco de los R{\'i}os}, Camilo and Hougaard, {Jens Leth} and Kurt Nielsen",
year = "2017",
language = "English",
note = "Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, IFSA-SCIS 2017 ; Conference date: 27-06-2017 Through 30-06-2017",

}

RIS

TY - CONF

T1 - An axiomatic approach to the estimation of interval-valued preferences in multi-criteria decision modeling

AU - Franco de los Ríos, Camilo

AU - Hougaard, Jens Leth

AU - Nielsen, Kurt

PY - 2017

Y1 - 2017

N2 - In this paper we explore multi-dimensional preference estimation from imprecise (interval) data. Focusing on different multi-criteria decision models, such as PROMETHEE, ELECTRE, TOPSIS or VIKOR, and their extensions dealing with imprecise data, preference modeling is examined with respect to a suggestedset of axioms. Their performance is evaluated and some specific problems are identified, regarding the satisfaction of the proposed axioms as well as some difficulty on how to properly understand the uncertainty of the interval-valued outcome and its respective preference situation. In consequence, the Weighted Overlap Dominance (WOD) method is examined, which has been explicitly designed for interval data, thus satisfying the proposed axioms, and clearlyidentifying the preference relational situation for all pairs of alternatives.

AB - In this paper we explore multi-dimensional preference estimation from imprecise (interval) data. Focusing on different multi-criteria decision models, such as PROMETHEE, ELECTRE, TOPSIS or VIKOR, and their extensions dealing with imprecise data, preference modeling is examined with respect to a suggestedset of axioms. Their performance is evaluated and some specific problems are identified, regarding the satisfaction of the proposed axioms as well as some difficulty on how to properly understand the uncertainty of the interval-valued outcome and its respective preference situation. In consequence, the Weighted Overlap Dominance (WOD) method is examined, which has been explicitly designed for interval data, thus satisfying the proposed axioms, and clearlyidentifying the preference relational situation for all pairs of alternatives.

M3 - Paper

T2 - Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems

Y2 - 27 June 2017 through 30 June 2017

ER -

ID: 182091351