Abstract Successful decision-making analysis needs to take both advantages of human analysts and computers, and human knowledge is usually expressed in a qualitative way. Computer based approaches are good at handling quantitative data, while it is still challenging on how to well structure qualitative knowledge and incorporate them as part of decision analytics. This paper develops a logical reasoning based decision-making framework for handling qualitative human knowledge. In this framework, an algebraic structure is adopted for modelling qualitative human knowledge in a systematic way, and a logic based approximate reasoning method is then proposed for inferring the final decision based on the structured qualitative knowledge. By taking a non-classical logic as its formal foundation, the proposed logical reasoning based decision making method is able to model and infer with qualitative human knowledge directly without numerical approximation in a strict way.

中文翻译：

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一种基于逻辑推理的定性知识处理决策方法

摘要 成功的决策分析需要同时利用人类分析师和计算机的优势，人类知识通常以定性的方式表达。基于计算机的方法擅长处理定量数据，但在如何构建定性知识并将其作为决策分析的一部分方面仍然具有挑战性。本文开发了一个基于逻辑推理的决策框架，用于处理定性人类知识。在该框架中，采用代数结构对定性人类知识进行系统建模，然后提出一种基于逻辑的近似推理方法，用于基于结构化定性知识推断最终决策。以非经典逻辑为形式基础，