An analytical process model of two-party negotiations
Management Science
Bayesian learning in negotiation
International Journal of Human-Computer Studies - Evolution and learning in multiagent systems
ICEC '03 Proceedings of the 5th international conference on Electronic commerce
Automated Multi-Attribute Negotiation with Efficient Use of Incomplete Preference Information
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
Learning-based automated negotiation between shipper and forwarder
Computers and Industrial Engineering
Predicting opponent's moves in electronic negotiations using neural networks
Expert Systems with Applications: An International Journal
The Fuzzy ART algorithm: A categorization method for supplier evaluation and selection
Expert Systems with Applications: An International Journal
Review article: A review of soft computing applications in supply chain management
Applied Soft Computing
A multi-agent based system for e-procurement exception management
Knowledge-Based Systems
Supplier behavior modeling and winner determination using parallel MDP
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A fuzzy VIKOR method for supplier selection based on entropy measure for objective weighting
Expert Systems with Applications: An International Journal
A new mechanism for negotiations in multi-agent systems based on ARTMAP artificial neural network
KES-AMSTA'11 Proceedings of the 5th KES international conference on Agent and multi-agent systems: technologies and applications
Journal of Intelligent Manufacturing
An intelligent supplier evaluation, selection and development system
Applied Soft Computing
Application of decision-making techniques in supplier selection: A systematic review of literature
Expert Systems with Applications: An International Journal
Hi-index | 12.06 |
Supplier selection negotiation is a sophisticated and challenged job due to the diversity of intellectual backgrounds of the negotiating parties, the many variables involved in supply-demand relationship, the complex interactions and the inadequate negotiation knowledge of project participants. To do the job well, it is necessary to develop an intelligent system for negotiation support in supplier selection process. Therefore, an artificial neural network-based predictive model with application for forecasting the supplier's bid prices in supplier selection negotiation process (SSNP) is developed in this paper. By means of the model, demander can foresee the relationship between its alternative bids and corresponding supplier's next bid prices in advance. The purpose of this paper is applying the model's forecast ability to provide negotiation supports or recommendations for demander in deciding the better current bid price to decrease meaningless negotiation times, reduce procurement cost, improve negotiation efficiency or shorten supplier selection lead-time in SSNP.