A fuzzy rule-based bargaining model for online group purchasing

Ping Wen Chen*, Yung-Ming Li, Ting Kai Hwang

*Corresponding author for this work

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

Abstract

Online group purchasing or collective purchasing is the activity in which people who desire to buy the same merchandises join together so that they can negotiate with sellers for a better price through Internet. This paper utilizes fuzzy logic to develop a bargaining model for such activities. The model supports buyers to make group decision to set up their bargaining strategy; instead of using static rules, buyers can customize their fuzzy rule base that can infer to produce negotiation proposals to bargain with sellers. Experimental results show that (1) the prototype system with the fuzzy function is easy to use; (2) people enjoy online bargaining for better prices; (3) they think that online bargaining is very important and inevitable for electronic markets in the future.

Original languageEnglish
Title of host publicationProceedings of the 9th Joint Conference on Information Sciences, JCIS 2006
DOIs
StatePublished - 1 Dec 2006
Event9th Joint Conference on Information Sciences, JCIS 2006 - Taiwan, ROC, Taiwan
Duration: 8 Oct 200611 Oct 2006

Publication series

NameProceedings of the 9th Joint Conference on Information Sciences, JCIS 2006
Volume2006

Conference

Conference9th Joint Conference on Information Sciences, JCIS 2006
CountryTaiwan
CityTaiwan, ROC
Period8/10/0611/10/06

Keywords

  • Bargaining
  • Collective purchasing
  • Electronic commerce
  • Fuzzy logic
  • Group purchasing

Fingerprint Dive into the research topics of 'A fuzzy rule-based bargaining model for online group purchasing'. Together they form a unique fingerprint.

  • Cite this

    Chen, P. W., Li, Y-M., & Hwang, T. K. (2006). A fuzzy rule-based bargaining model for online group purchasing. In Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006 [CIEF-216] (Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006; Vol. 2006). https://doi.org/10.2991/jcis.2006.160