Fuzzy logics for graded reasoning in applied contexts

我们关心的许多事情，比如友谊或安全，都是有程度的，但我们目前的信息跟踪系统并不是为了处理这个问题而建立的。本项目旨在增强多值逻辑作为管理分级信息的工具。它希望在模糊数据库和有限域的逻辑语言领域产生新的知识，使用哲学家，数学家和计算机科学家之间的跨学科方法。预期成果包括新的逻辑方法和多值逻辑建模技术。这将带来巨大的好处，例如增强模糊逻辑作为人工智能中处理不精确概念推理的工具，为复杂的现实数据赋予意义。

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.