Fuzzy Clustering Based on Multiobjective Optimization Problem for Decision Support of Non Player Character in Serious Game

摘要

Decision support plays important role in decision-making, mistaken in decision-making be able to lose the competition. Decision-making is very complicated especially when the problem is in multiobjective problem. In this research, the objective is to build Non Player Character (NPC) as decision support for decision maker or player in serious game. This NPC is developed with two stages; the first stage is multiobjective optimization problem that uses NSGA2 method. This stage results some optimal solutions. The second stage is clustering to cluster optimal solutions from first stage to be a small number of solutions. In this stage, we compare two clustering methods such as FCM, and FLVQ to achieve the best method for NPC.