Dominance relation based ranking procedure for automated reverse auctions

Imène  Brigui; Salem Chakhar

doi:10.1007/978-3-030-98531-8_14

Dominance relation based ranking procedure for automated reverse auctions

Imène Brigui, Salem Chakhar

Emlyon Business School

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Downloads (Pure)

Abstract

Most of existing multicriteria auctions systems are very demanding in terms of preference parameters, which requires a considerable cognitive effort from the buyer. In this paper, we propose an auction approach that relies on a combination between Agent systems and dominance relation-based ranking procedure, allowing a buyer agent to manage automatic preference-based English reverse and adaptive auctions. The ranking procedure is based on the dominance relation, which is the most elementary preference information. Within the proposed approach, no aggregation is needed and the ranking procedure will not ask any additional information from the buyer, permitting thus to considerably reduce his/her cognitive effort.

Original language	English
Title of host publication	Progresses in Artificial Intelligence & Robotics: Algorithms & Applications. Proceedings of 3rd International Conference on Deep Learning, Artificial Intelligence and Robotics, (ICDLAIR) 2021
Editors	Luigi Troiano, Alfredo Vaccaro, Nishtha Kesswani, Irene Díaz Rodriguez, Imene Brigui
Place of Publication	Springer, Cham
Publisher	Springer
Pages	137–145
Number of pages	9
ISBN (Electronic)	9783030985318
ISBN (Print)	9783030985301
DOIs	https://doi.org/10.1007/978-3-030-98531-8_14
Publication status	Published - 10 Apr 2022
Event	3rd International Conference on Deep Learning, Artificial Intelligence and Robotics - Salerno, Italy Duration: 13 Dec 2021 → 20 Dec 2021

Publication series

Name	Lecture Notes in Networks and Systems
Volume	441
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	3rd International Conference on Deep Learning, Artificial Intelligence and Robotics
Abbreviated title	ICDLAIR 2021
Country/Territory	Italy
City	Salerno
Period	13/12/21 → 20/12/21

Keywords

multicriteria English auctions
multiagent systems
ranking procedure

Access to Document

10.1007/978-3-030-98531-8_14

ICDLAIR
This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/978-3-030-98531-8_14.
Accepted author manuscript (Post-print), 204 KB

Cite this

Brigui, I., & Chakhar, S. (2022). Dominance relation based ranking procedure for automated reverse auctions. In L. Troiano, A. Vaccaro, N. Kesswani, I. Díaz Rodriguez, & I. Brigui (Eds.), Progresses in Artificial Intelligence & Robotics: Algorithms & Applications. Proceedings of 3rd International Conference on Deep Learning, Artificial Intelligence and Robotics, (ICDLAIR) 2021 (pp. 137–145). (Lecture Notes in Networks and Systems; Vol. 441). Springer. https://doi.org/10.1007/978-3-030-98531-8_14

Brigui, Imène ; Chakhar, Salem. / Dominance relation based ranking procedure for automated reverse auctions. Progresses in Artificial Intelligence & Robotics: Algorithms & Applications. Proceedings of 3rd International Conference on Deep Learning, Artificial Intelligence and Robotics, (ICDLAIR) 2021. editor / Luigi Troiano ; Alfredo Vaccaro ; Nishtha Kesswani ; Irene Díaz Rodriguez ; Imene Brigui. Springer, Cham : Springer, 2022. pp. 137–145 (Lecture Notes in Networks and Systems).

@inproceedings{99e7e8c6befe4b76b3b725c788146805,

title = "Dominance relation based ranking procedure for automated reverse auctions",

abstract = "Most of existing multicriteria auctions systems are very demanding in terms of preference parameters, which requires a considerable cognitive effort from the buyer. In this paper, we propose an auction approach that relies on a combination between Agent systems and dominance relation-based ranking procedure, allowing a buyer agent to manage automatic preference-based English reverse and adaptive auctions. The ranking procedure is based on the dominance relation, which is the most elementary preference information. Within the proposed approach, no aggregation is needed and the ranking procedure will not ask any additional information from the buyer, permitting thus to considerably reduce his/her cognitive effort.",

keywords = "multicriteria English auctions, multiagent systems, ranking procedure",

author = "Im{\`e}ne Brigui and Salem Chakhar",

year = "2022",

month = apr,

day = "10",

doi = "10.1007/978-3-030-98531-8_14",

language = "English",

isbn = "9783030985301",

series = "Lecture Notes in Networks and Systems",

publisher = "Springer",

pages = "137–145",

editor = "Luigi Troiano and Alfredo Vaccaro and Nishtha Kesswani and {D{\'i}az Rodriguez}, {Irene } and Imene Brigui",

booktitle = "Progresses in Artificial Intelligence & Robotics: Algorithms & Applications. Proceedings of 3rd International Conference on Deep Learning, Artificial Intelligence and Robotics, (ICDLAIR) 2021",

note = "3rd International Conference on Deep Learning, Artificial Intelligence and Robotics, ICDLAIR 2021 ; Conference date: 13-12-2021 Through 20-12-2021",

}

Brigui, I & Chakhar, S 2022, Dominance relation based ranking procedure for automated reverse auctions. in L Troiano, A Vaccaro, N Kesswani, I Díaz Rodriguez & I Brigui (eds), Progresses in Artificial Intelligence & Robotics: Algorithms & Applications. Proceedings of 3rd International Conference on Deep Learning, Artificial Intelligence and Robotics, (ICDLAIR) 2021. Lecture Notes in Networks and Systems, vol. 441, Springer, Springer, Cham, pp. 137–145, 3rd International Conference on Deep Learning, Artificial Intelligence and Robotics, Salerno, Italy, 13/12/21. https://doi.org/10.1007/978-3-030-98531-8_14

Dominance relation based ranking procedure for automated reverse auctions. / Brigui, Imène ; Chakhar, Salem.
Progresses in Artificial Intelligence & Robotics: Algorithms & Applications. Proceedings of 3rd International Conference on Deep Learning, Artificial Intelligence and Robotics, (ICDLAIR) 2021. ed. / Luigi Troiano; Alfredo Vaccaro; Nishtha Kesswani; Irene Díaz Rodriguez; Imene Brigui. Springer, Cham: Springer, 2022. p. 137–145 (Lecture Notes in Networks and Systems; Vol. 441).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Dominance relation based ranking procedure for automated reverse auctions

AU - Brigui, Imène

AU - Chakhar, Salem

PY - 2022/4/10

Y1 - 2022/4/10

N2 - Most of existing multicriteria auctions systems are very demanding in terms of preference parameters, which requires a considerable cognitive effort from the buyer. In this paper, we propose an auction approach that relies on a combination between Agent systems and dominance relation-based ranking procedure, allowing a buyer agent to manage automatic preference-based English reverse and adaptive auctions. The ranking procedure is based on the dominance relation, which is the most elementary preference information. Within the proposed approach, no aggregation is needed and the ranking procedure will not ask any additional information from the buyer, permitting thus to considerably reduce his/her cognitive effort.

AB - Most of existing multicriteria auctions systems are very demanding in terms of preference parameters, which requires a considerable cognitive effort from the buyer. In this paper, we propose an auction approach that relies on a combination between Agent systems and dominance relation-based ranking procedure, allowing a buyer agent to manage automatic preference-based English reverse and adaptive auctions. The ranking procedure is based on the dominance relation, which is the most elementary preference information. Within the proposed approach, no aggregation is needed and the ranking procedure will not ask any additional information from the buyer, permitting thus to considerably reduce his/her cognitive effort.

KW - multicriteria English auctions

KW - multiagent systems

KW - ranking procedure

UR - https://icdlair2021.iaasse.org/

U2 - 10.1007/978-3-030-98531-8_14

DO - 10.1007/978-3-030-98531-8_14

M3 - Conference contribution

SN - 9783030985301

T3 - Lecture Notes in Networks and Systems

SP - 137

EP - 145

BT - Progresses in Artificial Intelligence & Robotics: Algorithms & Applications. Proceedings of 3rd International Conference on Deep Learning, Artificial Intelligence and Robotics, (ICDLAIR) 2021

A2 - Troiano, Luigi

A2 - Vaccaro, Alfredo

A2 - Kesswani, Nishtha

A2 - Díaz Rodriguez, Irene

A2 - Brigui, Imene

PB - Springer

CY - Springer, Cham

T2 - 3rd International Conference on Deep Learning, Artificial Intelligence and Robotics

Y2 - 13 December 2021 through 20 December 2021

ER -

Brigui I, Chakhar S. Dominance relation based ranking procedure for automated reverse auctions. In Troiano L, Vaccaro A, Kesswani N, Díaz Rodriguez I, Brigui I, editors, Progresses in Artificial Intelligence & Robotics: Algorithms & Applications. Proceedings of 3rd International Conference on Deep Learning, Artificial Intelligence and Robotics, (ICDLAIR) 2021. Springer, Cham: Springer. 2022. p. 137–145. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-030-98531-8_14

Dominance relation based ranking procedure for automated reverse auctions

Abstract

Publication series

Conference

Keywords

Access to Document

Fingerprint

Cite this