自动制图综合的研究长期以来未能取得突破性进展，原因之一是人们对制图综合的知识处理的深度不够。本文探讨在ＧＩＳ环境下实现智能化制图综合的方法。方法要点是：①采用知识推理＋数学模型的方法，即将基于专家知识的智能化推理与数学模型处理结合起来，用知识推理引导和操纵数学模型处理，以期达到较理想的结果；②在专家知识规则中贯穿面向地理特征的思想，即包括面向地理要素、面向地物对象－类，面向特殊地理区域等方面的知识法则。本文首先阐述在ＧＩＳ环境下实现智能化制图综合功能的策略，其次描述知识推理控制下的数学模型操作流程，以及制图综合专家知识库的组织形式；最后阐述各种面向地理特征的制图综合知识规则。

Abstract The study on automated cartographic generalization has little breakthrough due to the lack of depth of generalization knowledge gained nowadays. This paper expounded the methods of intelligent generalization in GIS environment. The key points were: 1)combining knowledge inference with mathematical models; 2) using geographic characteristics oriented mechanism in generalization knowledge, including the knowledge rules orienting to geographic features, to geographic object classes, and to specific geographic regions. In this paper, the authors’ strategy of realizing intelligent generalization in GIS environment was related at first. And then followed the flow chart of math model process driven by knowledge inference, as well as the structure of generalization expert knowledge base. Finally, various geographic characteristic oriented knowledge rules were described.