Integrating Intuitionistic Confidence and Graphical Models for a Research Support System

我们提出了一个挑战，即通过将代表命题不确定性的数值和数理逻辑中推理的图形表示相结合来发展一个理论。我们的目标是将其用于我们无法使用统计理论的研究领域。为了使我们的理论更加实用，我们开发了一些有效的逻辑推理方法，从自然语言文本中提取逻辑关系，以及从文档图像中检索信息。

We challenged to develop a theory by combining numerical values with which representing uncertainty of propositions and graphical representation of inference in mathematical logic. Our goal is to use it in research areas where we cannot use statistical theories. Also in order to our theory more practical, we developed some methods for efficient logical inference, extraction of logical relations from texts in natural languages, and information retrieval from document images.