Decision support based on integration of fuzzy clusering and multiobjective optimization problem for non player character in business game

Mochamad Hariadi*, I. G.P.Asto Buditjahjanto, Mauridhi Hery Purnomo

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationSoCPaR 2009 - Soft Computing and Pattern Recognition
Pages358-363
Number of pages6
DOIs
Publication statusPublished - 2009
Externally publishedYes
EventInternational Conference on Soft Computing and Pattern Recognition, SoCPaR 2009 - Malacca, Malaysia
Duration: 4 Dec 20097 Dec 2009

Publication series

NameSoCPaR 2009 - Soft Computing and Pattern Recognition

Conference

ConferenceInternational Conference on Soft Computing and Pattern Recognition, SoCPaR 2009
Country/TerritoryMalaysia
CityMalacca
Period4/12/097/12/09

Keywords

  • Business game
  • Fuzzy clustering
  • Multi objective
  • NPC
  • Optimization

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