Dominance relation based ranking procedure for automated reverse auctions

Imene Brigui, Salem Chakhar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish
Title of host publicationThe 3rd International Conference on Deep Learning, Artificial Intelligence and Robotics, (ICDLAIR) 2021. December 13-20, University of Salerno, Italy
PublisherSpringer
Number of pages7
Publication statusAccepted for publication - 16 Nov 2021
Event3rd International Conference on Deep Learning, Artificial Intelligence and Robotics - Salerno, Italy
Duration: 13 Dec 202120 Dec 2021

Publication series

NameLecture Notes in Networks and Systems
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

Conference3rd International Conference on Deep Learning, Artificial Intelligence and Robotics
Abbreviated titleICDLAIR 2021
Country/TerritoryItaly
CitySalerno
Period13/12/2120/12/21

Keywords

  • Multicriteria English auctions
  • Multiagent systems
  • Ranking procedure

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