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案例推理在多准则评价智能决策支持系统中的应用研究
引用本文:徐晓臻,高国安.案例推理在多准则评价智能决策支持系统中的应用研究[J].计算机集成制造系统,2001,7(1):16-18,28.
作者姓名:徐晓臻  高国安
作者单位:哈尔滨工业大学现代生产技术中心,
基金项目:国防科工委、航天工业总公司“九五”重大科技预研项目
摘    要:案例推理是动态决策环境下求解下不良结构的常用方法,本文将基于案例的推理方法用于多准则综合评价中,具体讨了方案库和评价结果库的建立,并将其用关系数据库的格式进行存储,提出了基于灰色关联理论和模糊集理论相结合的相似度计算方法,从而可以准确地检索到相近案例,对人定方案给出定性或者定量的评价。

关 键 词:案例推理  灰色关联度  模糊集理论  智能决策支持系统
文章编号:1006-5911(2001)01-0016-03

Research and Implement of Case-based Reasoning in an Multi-criteria Evaluation IDSS
XU Xiao-zhen,GAO Guo-an.Research and Implement of Case-based Reasoning in an Multi-criteria Evaluation IDSS[J].Computer Integrated Manufacturing Systems,2001,7(1):16-18,28.
Authors:XU Xiao-zhen  GAO Guo-an
Abstract:Case-based reasoning is the most preferred method for uncertain decision in complex and dynamic situations. In this paper,we apply this method to multi-criteria evaluation. The method of building the scheme base and the result base is discussed and they are built according to the form of relational database. A method of calculating the similarity degree based on grey-relational theory and fuzzy-set theory is put forward. Thus, similar cases can be found out accurately and qualitative or quantitative evaluation of certain scheme can be given.
Keywords:case-based reasoning  grey-relational degree  fuzzy-set theory  intelligent decision support system
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