Using Neural Network and Genetic Algorithm for Business Negotiation with Maximum Joint Gain in E-Commerce

Combination of new information technologies with decision analysis tools provides us great opportunities for improving the efficiency and effectiveness of decisionmaking and negotiation. Emerging Internet related technologies and, in particular, the World Wide Web and E-Commerce provide yet another opportunity for radical change and improvement in the support and practice of negotiations. In this paper we report our research about using a comprehensive method for achieving an acceptable joint gain in a two party negotiations for negotiation support systems like INSPIRE. In our approach we use artificial neural networks and genetic algorithms for stages of negotiation in order to suggest a suitable compromise for two parts of negotiation that makes their total utility maximized. Applying the proposed model for an example, the results are compared with INSPIRE which is a known negotiation support system.