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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 68 - Issue 17 |
| Published: April 2013 |
| Authors: Alexander T, E. Kirubakaran |
10.5120/11668-7264
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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
@article{ 10.5120/11668-7264,
author = { Alexander T,E. Kirubakaran },
title = { Neural Network and GA based Intelligent B2B Negotiation System },
journal = { International Journal of Computer Applications },
year = { 2013 },
volume = { 68 },
number = { 17 },
pages = { 1-6 },
doi = { 10.5120/11668-7264 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2013
%A Alexander T
%A E. Kirubakaran
%T Neural Network and GA based Intelligent B2B Negotiation System%T
%J International Journal of Computer Applications
%V 68
%N 17
%P 1-6
%R 10.5120/11668-7264
%I Foundation of Computer Science (FCS), NY, USA
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.