Skip to main content
SpringerLink
Log in

Winner Determination Based on Preference Elicitation Methods

  • Conference paper
Advances in Artificial Intelligence (Canadian AI 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6085))

Included in the following conference series:

  • 2574 Accesses

Abstract

Multi-Attribute Reverse Auction (MARA) is widely used in modern electronic procurement systems. However, eliciting the buyer’s preferences and determining the winner are challenging tasks for MARA systems. In this paper, we study and extend two methods, the Multi-Attribute Utility Theory and constrained CP-nets, for solving the winner determination problem in MARA. Thanks to the proposed extensions, the buyer can now express conditional preferences over the product attributes. In addition, he can submit his preferences qualitatively or quantitatively. In this way, we provide the buyers with more flexibility in the specification of their purchasing requests.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Beil, D.R., Wein, L.M.: An inverse-optimization-based auction mechanism to support a multiattribute RFQ process. Management Science 49(11), 1529–1545 (2003)

    Article  Google Scholar 

  2. Bichler, M., Kalagnanam, J.: Configurable offers and winner determination in multi-attribute auctions. European Journal of Operational Research 160, 380–394 (2005)

    Article  MATH  Google Scholar 

  3. Boutilier, C., Brafman, R.I., Domshlak, C., Hoos, H.H., Poole, D.: Preference-based Constrained Optimization with CP-nets. Computational Intelligence 20(2), 137–157 (2004)

    Article  MathSciNet  Google Scholar 

  4. Boutilier, C., Brafman, R.I., Domshlak, C., Hoos, H.H., Poole, D.: CP-nets: A Tool for Representing and Reasoning with Conditional Ceteris Paribus Preference Statements. Journal of Artificial Intelligence Research 21, 135–191 (2004)

    MATH  MathSciNet  Google Scholar 

  5. Che, Y.K.: Design competition through multidimensional auctions. RAND Jounal of Economics 24, 668–680 (1993)

    Article  Google Scholar 

  6. Zhang, J., Pu, P.: Survey of Solving Multi-Attribute Decision Problems. EPFL Technical Report No: IC/2004/54, June 17 (2004)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science, University of Regina, Canada

    Farnaz Ghavamifar, Samira Sadaoui & Malek Mouhoub

Authors
  1. Farnaz Ghavamifar
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Samira Sadaoui
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Malek Mouhoub
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. NLP Technologies Inc., 1255 University Street, H3B 3W9, Montreal, Quebec, Canada

    Atefeh Farzindar

  2. Dalhousie University, Faculty of Computer Science, 6050 University Ave, Halifax, B3H 1W5, Nova Scotia, Canada

    Vlado Kešelj

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Ghavamifar, F., Sadaoui, S., Mouhoub, M. (2010). Winner Determination Based on Preference Elicitation Methods. In: Farzindar, A., Kešelj, V. (eds) Advances in Artificial Intelligence. Canadian AI 2010. Lecture Notes in Computer Science(), vol 6085. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13059-5_40

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-13059-5_40

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13058-8

  • Online ISBN: 978-3-642-13059-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation