The experience of developing a fuzzy-logic based negotiation system for E-Commerce

Bala BALACHANDRAN

Research output: A Conference proceeding or a Chapter in BookConference contribution

Abstract

In this paper we present our experience in developing a fuzzy-logic based negotiation system capable of achieving a mutually beneficial deal for the seller and buyer in uncertain situations. Fuzzy utility in our system allows users who are often unsure about their utility function to express their preferences in fuzzy terms such as low, middle and high. The system evaluates offers based on this fuzzy utility and feeds utility score along with remaining negotiation time to a fuzzy inference system to compute conceding rate of its next counter offer. The experimental results have shown that that the system concedes less when negotiated item matches its preferences less and concedes more when the negotiated item matches its preferences closely and when negotiation is ending. Our concluding remarks and future research are presented
Original languageEnglish
Title of host publicationSmart Digital Futures 2014
EditorsR Neves-Silva, G.A Tsihrintzis, V Uskov, R.J Howlett, L.C Jain
Place of PublicationAmsterdam, Netherlands
PublisherIOS Press
Pages102-111
Number of pages10
Volume262
ISBN (Electronic)9781614994053
ISBN (Print)9781614994046
DOIs
Publication statusPublished - 2014
Event6th International Conference on Intelligent Decision Technologies - KES-IDT 2014 - Chania, Greece
Duration: 18 Jun 201420 Jun 2014

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume262
ISSN (Print)0922-6389

Conference

Conference6th International Conference on Intelligent Decision Technologies - KES-IDT 2014
CountryGreece
CityChania
Period18/06/1420/06/14

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BALACHANDRAN, B. (2014). The experience of developing a fuzzy-logic based negotiation system for E-Commerce. In R. Neves-Silva, G. A. Tsihrintzis, V. Uskov, R. J. Howlett, & L. C. Jain (Eds.), Smart Digital Futures 2014 (Vol. 262, pp. 102-111). (Frontiers in Artificial Intelligence and Applications; Vol. 262). Amsterdam, Netherlands: IOS Press. https://doi.org/10.3233/978-1-61499-405-3-102