介绍了镍熔炼矿热电炉生产过程智能决策支持系统（ＩＤＳＳ）的结构和功能，重点论述了以模糊决策规则为基础的知识库和模型库系统，本系统具有自学习和自适应功能，已被用于现场的生产信息管理与分析和配料与操作条件的优化决策，能显著降低电能消耗，提高金属回收率． The structure and function of intelligent decision support system (IDSS) in the production process of nickel smelting furnace are introduced. The knowledge base and model base system based on fuzzy decision rules are emphatically discussed. The system has self - learning and self - adaptive function and has been Optimized decision-making for the management and analysis of production information and on the ingredients and operating conditions in the field can significantly reduce power consumption and increase metal recovery.