Extending fuzzy logic

扩展模糊逻辑

• 批准号: DP110103767
• 负责人: Prof Tamás (Tom) Gedeon
• 金额: $ 16.89万
• 依托单位: The Australian National University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2011
• 资助国家: 澳大利亚
• 起止时间: 2011-06-30 至 2015-05-29
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP110103767
• 关键词: Extending; fuzzy; logic

Fuzzy logic is good for dealing with uncertain data somewhat like people do, and this technique has been used in train braking systems, computer animation etc, but can be slow for problems with large or complex data especially if the data are changing with time. The project will design efficient fuzzy logic algorithms capable of dealing with complex real world problems.

模糊逻辑在某种程度上适合于处理不确定的数据，这一技术已被用于列车制动系统、计算机动画等，但对于大数据或复杂数据的问题，尤其是当数据随时间变化时，速度可能会很慢。该项目将设计高效的模糊逻辑算法，能够处理复杂的现实世界问题。