International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
Volume 68 - Issue 17 |
Published: April 2013 |
Authors: Alexander T, E. Kirubakaran |
![]() |
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.