Fuzzy logics for graded reasoning in applied contexts

应用上下文中分级推理的模糊逻辑

• 批准号: DE220100544
• 负责人: Dr Guillermo Badia
• 金额: $ 25.6万
• 依托单位: The University of Queensland
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Early Career Researcher Award
• 财政年份: 2022
• 资助国家: 澳大利亚
• 起止时间: 2022-07-25 至 2025-07-24
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DE220100544
• 关键词: Fuzzy; logics; graded; reasoning; applied

Many things we care about, such as friendship or safety, come in degrees, but our current systems for tracking information are not built to handle this. This project aims to enhance many-valued logic as a tool to manage graded information. It expects to generate new knowledge in the area of logical languages for fuzzy databases and finite domains using an interdisciplinary approach between philosophers, mathematicians and computer scientists. Expected outcomes include new logical methods and modelling techniques for many-valued logics. This will provide significant benefits, such as the enhancement of fuzzy logic as a tool in artificial intelligence to handle reasoning with imprecise concepts, giving meaning to complex real-life data.

我们关心的许多事情，例如友谊或安全性，都会出现，但是我们当前的跟踪信息的系统并不是为了解决这个问题的构建。该项目旨在增强许多值逻辑作为管理分级信息的工具。它希望使用哲学家，数学家和计算机科学家之间的跨学科方法在逻辑语言领域中为模糊数据库和有限领域产生新知识。预期的结果包括针对多元价值逻辑的新逻辑方法和建模技术。这将带来重大的好处，例如增强模糊逻辑作为人工智能中的工具，以不精确的概念来处理推理，从而对复杂的现实生活数据有意义。