Apply intelligent negotiation agents for B2C E-commerce

Chun Che Huang, Wen-Yau Liang, Yu Hsin Lai, Yin Chen Lin

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

B2C e-commerce is becoming more widespread as more people come to recognize its convenience. Currently, many electronic marketplaces are in essence some kind of search engine and usually such e-marketplaces do not use agent technologies. In this paper, a multiple-attributes negotiation model for B2C e-commerce is proposed. This model deploys intelligent agents to facilitate autonomous and automatic online buying and selling by intelligent agents. These processes include information collecting, searching/offer gathering, negotiating, and evaluating, which incorporates with fuzzy theory and analytical hierarchy process to facilitate the user inputs his/her requirements. An example is illustrated to show the superiority of this approach.

Original languageEnglish
Pages (from-to)187-193
Number of pages7
JournalJournal of Internet Technology
Volume10
Issue number2
Publication statusPublished - 2009 Dec 1

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Networks and Communications

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  • Cite this

    Huang, C. C., Liang, W-Y., Lai, Y. H., & Lin, Y. C. (2009). Apply intelligent negotiation agents for B2C E-commerce. Journal of Internet Technology, 10(2), 187-193.