International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 68 - Number 17 |
Year of Publication: 2013 |
Authors: Alexander T, E. Kirubakaran |
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Alexander T, E. Kirubakaran . Neural Network and GA based Intelligent B2B Negotiation System. International Journal of Computer Applications. 68, 17 ( April 2013), 1-6. DOI=10.5120/11668-7264
E-commerce has become one of the most important aspects of today's buying and selling process. Due to the large number of transactions performed online, there arises a need for intelligent support tools to improve the efficiency in performing these transactions. According to the BBT business model, negotiation plays an important part in B2B e-commerce. Web services play a major role in performing the negotiations. Here a two phase system is proposed that helps in appropriate web service discovery and service analysis and finally provides the user with a set of workflows that are appropriate for the current user. A neural network based analyzer is used in the discovery phase, which helps in selecting the appropriate web service. Finally, the GA based analyzer is used for resolving the final k best workflows.