Abstract
This paper discusses the agent system for negotiation support based on the fuzzy decision making. The membership function is a very important factor to raise the accuracy of fuzzy 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 examinde 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.
