基于案例推理的优化型智能决策技术的研究

文章将计算智能、启发式搜索技术和案例推理技术应用到决策技术的研究中,采用多策略相似性检索策略,优化案例属性的选择,优化目标问题的解决方案,提出了一种优化型案例决策技术框架.利用案例推理技术的学习优势,结合遗传算法与禁忌算法高效的搜索机制,可望部分解决现存决策支持系统知识获取困难和检索效率低下的问题,提高其解决半结构化和非结构化问题的能力.

Research on Optimized Case- based Reasoning Intelligent Decision Technique

Applying computing intelligence,heuristic search technique and case-based reasoning into decision techniques,this paper presents a frame of optimized case decision technique that employs multi-strategy similarity retrievial approach,which can optimize the selection of the case attributes and the solution of the target problem.It utilizes the learning advantages of case-based reasoning and the high efficiency of tabu-genetic algorithm to solve the problem of the knowledge-acquiring difficulty and the low retrieval efficiency while enhance the solving ability of the semi-structure and unstructure problems in decision support system.