Negotiation Support Agent Based on Fuzzy Decision Making with Tuning by Genetic Programming
This paper discusses the agent system for negotiation support based on the fuzzy decision making.The mem bership function is a very important factor to raise the accuracy of fuzzy control. So it proposese the method to create the membership function and make it more proper for the control. It can be created and tuned up in a systematic and autonomous way by appllying evolution system of genetic programming(GP).And, the effectiveness was examined by applying to a practical negotiation case which needs coooperative decision making. As a result, the following findings were obtained. (1)It was possible to obtain the appropriate membership function suitable for the control object from among a vast search area comparatively easily. (2)The system was improved in respect of obtaining the negotiation result which offers mutual satisfactory compared to the system with a simple triangular membership function. (3)The result was more excellent compared to random search.