TY - GEN
T1 - Decision support based on integration of fuzzy clusering and multiobjective optimization problem for non player character in business game
AU - Hariadi, Mochamad
AU - Buditjahjanto, I. G.P.Asto
AU - Purnomo, Mauridhi Hery
PY - 2009
Y1 - 2009
N2 - Nowadays, 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. To learn decision making through play a game is an interesting thing. Player plays a game but actually, he or she learns about how to make a decision. In this research, the objective is to make Non-Player Character (NPC) for business game for electrical power production. This NPC is developed with 2 stages, the first stage is multiobjective optimization problem that uses NSGA2 method. This stage results some optimal solutions. The second stage is clustering that uses FCM method and FLVQ method to decrease number of solutions. In this stage, we compare these methods.
AB - Nowadays, 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. To learn decision making through play a game is an interesting thing. Player plays a game but actually, he or she learns about how to make a decision. In this research, the objective is to make Non-Player Character (NPC) for business game for electrical power production. This NPC is developed with 2 stages, the first stage is multiobjective optimization problem that uses NSGA2 method. This stage results some optimal solutions. The second stage is clustering that uses FCM method and FLVQ method to decrease number of solutions. In this stage, we compare these methods.
KW - Business game
KW - Fuzzy clustering
KW - Multi objective
KW - NPC
KW - Optimization
UR - http://www.scopus.com/inward/record.url?scp=77649315131&partnerID=8YFLogxK
U2 - 10.1109/SoCPaR.2009.77
DO - 10.1109/SoCPaR.2009.77
M3 - Conference contribution
AN - SCOPUS:77649315131
SN - 9780769538792
T3 - SoCPaR 2009 - Soft Computing and Pattern Recognition
SP - 358
EP - 363
BT - SoCPaR 2009 - Soft Computing and Pattern Recognition
T2 - International Conference on Soft Computing and Pattern Recognition, SoCPaR 2009
Y2 - 4 December 2009 through 7 December 2009
ER -