IDEAS home Printed from https://ideas.repec.org/a/igg/jiit00/v7y2011i2p45-62.html
   My bibliography  Save this article

Eliciting User Preferences in Multi-Agent Meeting Scheduling Problem

Author

Listed:
  • Mohammad Amin Rigi

    (K. N. Toosi University of Technology, Iran)

  • Farid Khoshalhan

    (K. N. Toosi University of Technology, Iran)

Abstract

Meeting Scheduling Problem (MSP) arranges meetings between a number of participants. Reaching consensus in arranging a meeting is very diffuclt and time-consuming when the number of participants is large. One efficient approach for overcoming this problem is the use of multi-agent systems. In a multi-agent system, agents are deciding on behalf of their users. They must be able to elicite their users’ preferences in an effective way. This paper focuses on the elicitation of users’ preferences. Analytical hierarchy process (AHP) - which is known for its ability to determine preferences - is used in this research. Specifically, an adaptive preference modeling technique based on AHP is developed and implemented in a system and the initial validation results are encouraging.

Suggested Citation

  • Mohammad Amin Rigi & Farid Khoshalhan, 2011. "Eliciting User Preferences in Multi-Agent Meeting Scheduling Problem," International Journal of Intelligent Information Technologies (IJIIT), IGI Global, vol. 7(2), pages 45-62, April.
  • Handle: RePEc:igg:jiit00:v:7:y:2011:i:2:p:45-62
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jiit.2011040103
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jiit00:v:7:y:2011:i:2:p:45-62. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.