A procurement decision support mechanism on multi-attribute fuzzy-interval auctions
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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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. p. 1336-1342.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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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