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

Camilo Franco de los Ríos; Jens Leth Hougaard; Kurt Nielsen

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

Camilo Franco de los Ríos, Jens Leth Hougaard, Kurt Nielsen

Section for Production, Markets and Policy

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.

Original language	English
Title of host publication	Proceedings 2016 IEEE World Congress on Computational Intelligence : 2016 IEEE Congress on Evolutionary Computation
Number of pages	7
Publication date	14 Nov 2016
Pages	1336-1342
ISBN (Electronic)	978-1-5090-0623-6
Publication status	Published - 14 Nov 2016
Event	IEEE World Congrees on Computational Intelligence 2016 - Vancouver, Canada Duration: 24 Jul 2016 → 29 Jul 2016

Conference

Conference	IEEE World Congrees on Computational Intelligence 2016
Country/Territory	Canada
City	Vancouver
Period	24/07/2016 → 29/07/2016

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

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