A procurement decision support mechanism on multi-attribute fuzzy-interval auctions

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Standard

A procurement decision support mechanism on multi-attribute fuzzy-interval auctions. / Franco de los Ríos, Camilo; Hougaard, Jens Leth; Nielsen, Kurt.

Proceedings 2016 IEEE World Congress on Computational Intelligence: 2016 IEEE Congress on Evolutionary Computation. 2016. s. 1336-1342.

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

Harvard

Franco de los Ríos, C, Hougaard, JL & Nielsen, K 2016, A procurement decision support mechanism on multi-attribute fuzzy-interval auctions. i Proceedings 2016 IEEE World Congress on Computational Intelligence: 2016 IEEE Congress on Evolutionary Computation. s. 1336-1342, IEEE World Congrees on Computational Intelligence 2016, Vancouver, Canada, 24/07/2016.

APA

Franco de los Ríos, C., Hougaard, J. L., & Nielsen, K. (2016). A procurement decision support mechanism on multi-attribute fuzzy-interval auctions. I Proceedings 2016 IEEE World Congress on Computational Intelligence: 2016 IEEE Congress on Evolutionary Computation (s. 1336-1342)

Vancouver

Franco de los Ríos C, Hougaard JL, Nielsen K. A procurement decision support mechanism on multi-attribute fuzzy-interval auctions. I Proceedings 2016 IEEE World Congress on Computational Intelligence: 2016 IEEE Congress on Evolutionary Computation. 2016. s. 1336-1342

Author

Franco de los Ríos, Camilo ; Hougaard, Jens Leth ; Nielsen, Kurt. / A procurement decision support mechanism on multi-attribute fuzzy-interval auctions. Proceedings 2016 IEEE World Congress on Computational Intelligence: 2016 IEEE Congress on Evolutionary Computation. 2016. s. 1336-1342

Bibtex

@inproceedings{8790b7ac607f4f0ca020dd9efb8fd8ed,
title = "A procurement decision support mechanism on multi-attribute fuzzy-interval auctions",
abstract = "Procurement systems are the basis for assuring efficiency and fairness in organizations. Consequently, the development of procurement systems faces an ongoing challenge in designing trading systems that facilitate transparent competition on both price and multiple attributes, as well as ensuring sufficient flexibility for operational purposes. As multi-attribute auctions may specify transparent rules for the procurement game, they allow for less flexibility as they rely on precise scores. Here we propose a decision support methodology, based on multicriteria (out)ranking techniques, for enhancing the flexibility of the procurement process and its reliability for decision making under uncertainty.",
author = "{Franco de los R{\'i}os}, Camilo and Hougaard, {Jens Leth} and Kurt Nielsen",
year = "2016",
language = "English",
pages = "1336--1342",
booktitle = "Proceedings 2016 IEEE World Congress on Computational Intelligence",
note = "null ; Conference date: 24-07-2016 Through 29-07-2016",

}

RIS

TY - GEN

T1 - A procurement decision support mechanism on multi-attribute fuzzy-interval auctions

AU - Franco de los Ríos, Camilo

AU - Hougaard, Jens Leth

AU - Nielsen, Kurt

PY - 2016

Y1 - 2016

N2 - Procurement systems are the basis for assuring efficiency and fairness in organizations. Consequently, the development of procurement systems faces an ongoing challenge in designing trading systems that facilitate transparent competition on both price and multiple attributes, as well as ensuring sufficient flexibility for operational purposes. As multi-attribute auctions may specify transparent rules for the procurement game, they allow for less flexibility as they rely on precise scores. Here we propose a decision support methodology, based on multicriteria (out)ranking techniques, for enhancing the flexibility of the procurement process and its reliability for decision making under uncertainty.

AB - Procurement systems are the basis for assuring efficiency and fairness in organizations. Consequently, the development of procurement systems faces an ongoing challenge in designing trading systems that facilitate transparent competition on both price and multiple attributes, as well as ensuring sufficient flexibility for operational purposes. As multi-attribute auctions may specify transparent rules for the procurement game, they allow for less flexibility as they rely on precise scores. Here we propose a decision support methodology, based on multicriteria (out)ranking techniques, for enhancing the flexibility of the procurement process and its reliability for decision making under uncertainty.

M3 - Article in proceedings

SP - 1336

EP - 1342

BT - Proceedings 2016 IEEE World Congress on Computational Intelligence

Y2 - 24 July 2016 through 29 July 2016

ER -

ID: 167554670