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A Soundness Test for Multi Criteria Decision Models with Imprecise Data. / Franco , Camilo; Hougaard, Jens Leth.
Joint Proceedings of the 19th World Congress of the International Fuzzy Systems Association (IFSA), the 12th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT), and the 11th International Summer School on Aggregation Operators (AGOP). Atlantis Press, 2021. p. 274-281 (Atlantis Studies in Uncertainty Modelling, Vol. 3).
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Harvard
Franco , C
& Hougaard, JL 2021,
A Soundness Test for Multi Criteria Decision Models with Imprecise Data. in
Joint Proceedings of the 19th World Congress of the International Fuzzy Systems Association (IFSA), the 12th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT), and the 11th International Summer School on Aggregation Operators (AGOP). Atlantis Press, Atlantis Studies in Uncertainty Modelling, vol. 3, pp. 274-281.
https://doi.org/10.2991/asum.k.210827.037APA
Franco , C.
, & Hougaard, J. L. (2021).
A Soundness Test for Multi Criteria Decision Models with Imprecise Data. In
Joint Proceedings of the 19th World Congress of the International Fuzzy Systems Association (IFSA), the 12th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT), and the 11th International Summer School on Aggregation Operators (AGOP) (pp. 274-281). Atlantis Press. Atlantis Studies in Uncertainty Modelling Vol. 3
https://doi.org/10.2991/asum.k.210827.037Vancouver
Franco C
, Hougaard JL.
A Soundness Test for Multi Criteria Decision Models with Imprecise Data. In Joint Proceedings of the 19th World Congress of the International Fuzzy Systems Association (IFSA), the 12th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT), and the 11th International Summer School on Aggregation Operators (AGOP). Atlantis Press. 2021. p. 274-281. (Atlantis Studies in Uncertainty Modelling, Vol. 3).
https://doi.org/10.2991/asum.k.210827.037Author
Franco , Camilo ; Hougaard, Jens Leth. / A Soundness Test for Multi Criteria Decision Models with Imprecise Data. Joint Proceedings of the 19th World Congress of the International Fuzzy Systems Association (IFSA), the 12th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT), and the 11th International Summer School on Aggregation Operators (AGOP). Atlantis Press, 2021. pp. 274-281 (Atlantis Studies in Uncertainty Modelling, Vol. 3).
Bibtex
@inproceedings{3f79576d553044f086aeff56df4a8320,
title = "A Soundness Test for Multi Criteria Decision Models with Imprecise Data",
abstract = "This paper proposes a set of minimal conditions which should be fulfilled by any multi-criteria additive procedure set out to work under imprecision. The proposed conditions are defined in terms of binary preference relations, which are inferred from interval-valued alternatives, and are shown to be useful for evaluating the interval-based reasoning procedures of imprecise multi-criteria methods. In particular, well-known distance-based methods like TOPSIS and VIKOR are examined in their intervalextensions, together with the interval-valued method of WOD, finding that only VIKOR fails to pass the complete test.",
author = "Camilo Franco and Hougaard, {Jens Leth}",
year = "2021",
doi = "10.2991/asum.k.210827.037",
language = "English",
series = "Atlantis Studies in Uncertainty Modelling",
publisher = "Atlantis Press",
pages = "274--281",
booktitle = "Joint Proceedings of the 19th World Congress of the International Fuzzy Systems Association (IFSA), the 12th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT), and the 11th International Summer School on Aggregation Operators (AGOP)",
}
RIS
TY - GEN
T1 - A Soundness Test for Multi Criteria Decision Models with Imprecise Data
AU - Franco , Camilo
AU - Hougaard, Jens Leth
PY - 2021
Y1 - 2021
N2 - This paper proposes a set of minimal conditions which should be fulfilled by any multi-criteria additive procedure set out to work under imprecision. The proposed conditions are defined in terms of binary preference relations, which are inferred from interval-valued alternatives, and are shown to be useful for evaluating the interval-based reasoning procedures of imprecise multi-criteria methods. In particular, well-known distance-based methods like TOPSIS and VIKOR are examined in their intervalextensions, together with the interval-valued method of WOD, finding that only VIKOR fails to pass the complete test.
AB - This paper proposes a set of minimal conditions which should be fulfilled by any multi-criteria additive procedure set out to work under imprecision. The proposed conditions are defined in terms of binary preference relations, which are inferred from interval-valued alternatives, and are shown to be useful for evaluating the interval-based reasoning procedures of imprecise multi-criteria methods. In particular, well-known distance-based methods like TOPSIS and VIKOR are examined in their intervalextensions, together with the interval-valued method of WOD, finding that only VIKOR fails to pass the complete test.
U2 - 10.2991/asum.k.210827.037
DO - 10.2991/asum.k.210827.037
M3 - Article in proceedings
T3 - Atlantis Studies in Uncertainty Modelling
SP - 274
EP - 281
BT - Joint Proceedings of the 19th World Congress of the International Fuzzy Systems Association (IFSA), the 12th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT), and the 11th International Summer School on Aggregation Operators (AGOP)
PB - Atlantis Press
ER -
