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Sistem Pembangkitan Skenario Menggunakan Metode Fuzzy Inference System Berbasis Balanced Scorecard Pada Game Serius

机译:严重比赛中基于平衡计分卡的模糊推理情景生成系统

摘要

This study aims to identify the automatic scenario generation system, which takes into consideration the role of a serious game players, on the basis of a balanced scorecard approach and using fuzzy inference system. For comparison proposed different defuzzification methods such as centroid, bisektor, Means of Maximum, Largest of Maximum and Smallest of Maximum. Preliminary results showed that the use of different methods of defuzzification, as the producer output, capable of providing value strategy in the selection of scenarios consistent. This means that the designed system is capable of providing choice to the proposed scenario in serious game.
机译:本研究旨在基于平衡计分卡方法并使用模糊推理系统,确定考虑了严肃游戏玩家角色的自动剧情生成系统。为了进行比较,提出了不同的去模糊方法,例如质心,bisektor,最大均值,最大最大和最小最小。初步结果表明,使用不同的解模糊方法作为生产者的产出,能够在选择情景时提供价值策略一致。这意味着设计的系统能够为严肃游戏中的拟议场景提供选择。

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