I.G. P. Asto Buditjahjanto
Decision-making plays important role for people. Almost every day they must decide a decision to solve their problems. Mistaken in selection a decision makes happen to lose in the competition. When the problem is in multi-objective problem, decision-making becomes very complicated. In this paper, the objective is to build an intelligent agent to help the decision maker or the player with a decision support while playing a serious game in economic and emission dispatch problem. This intelligent agent is constructed by two stages; the initial stage is multi-objective optimization problem that uses NSGA2 method. In this stage, NSGA2 results some optimal solutions. The next stage is clustering to cluster optimal solutions from first stage to be a small number of solutions. In this stage, we evaluate two clustering methods such as FCM, and FLVQ to accomplish the best method for build an intelligent agent which can offer several optimal solutions to the decision maker or the player. © 2005-2011 JATIT & LLS All rights reserved.
Department of Electrical Engineering, Universitas Negeri Surabaya, Surabaya - 60231, Indonesia
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