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  • 标题:Design of expert system for train operational feasibility with Tsukamoto fuzzy inference system
  • 本地全文:下载
  • 作者:Jumadi Jumadi ; Wildan Budiawan Zulfikar ; Dicky Andika Sulaeman
  • 期刊名称:MATEC Web of Conferences
  • 电子版ISSN:2261-236X
  • 出版年度:2018
  • 卷号:197
  • DOI:10.1051/matecconf/201819703015
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要:Train is one of the most favorite mass transportation in the world. In 2017 train in Indonesia can bring about 341.605 passengers to many destinations. PT. Kereta Api Indonesia is a state owned enterprise that has responsibility to make sure that train is safe and works well. As we know that a train has several components to check. It is very difficult to identify whether a train is in a good condition or needs repairing. The purpose of this work is to proposes a model of operational feasibility by several main criteria: bogie, breaking system, boffer, electric coupler, and safety kit. In its experiment phase, this model uses Tsukamoto Fuzzy Inference System to decide that a train is in good condition or need repairing. In evaluation phase we compare this model with traditional method and this model shows exactly 99% of the same result. It is suggested for further work to include several methods such as Tsugeno and Mamdani fuzzy inference system.
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