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  • 标题:Selection of Defuzzification Method to Obtain Crisp Value for Representing Uncertain Data in a Modified Sweep Algorithm
  • 本地全文:下载
  • 作者:Gunadi W. Nurcahyo ; Siti Mariyam Shamsuddin ; Rose Alinda Alias
  • 期刊名称:Journal of Computer Science and Technology
  • 印刷版ISSN:1666-6046
  • 电子版ISSN:1666-6038
  • 出版年度:2003
  • 卷号:3
  • 期号:2
  • 出版社:Iberoamerican Science & Technology Education Consortium
  • 摘要:We present a study of using fuzzy-based parameters for solving public bus routing problem where demand is uncertain. The fuzzy-based parameters are designed to provide data required by the route selection procedure. The uncertain data are represented as linguistic values which are fully dependent on the user's preference. This paper focuses on the selection of the Defuzzification method to discover the most appropriate method for obtaining crisp values which represent uncertain data. We also present a step by step evaluation showing that the fuzzy-based parameters are capable to represent uncertain data replacing the use of exact data which common route selection algorithms usually use
  • 关键词:sweep algorithm; public bus routing; route ;selection; fuzzy-based parameter; defuzzification
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