正互反矩阵优先权重的信息挖掘研究  

Research on Information Mining about Priotity Weight of Positive Reciprocal Judgment Matrices

作　　者：李彩凤[1] 

机构地区：[1]河池学院数学系,广西宜州546300

出　　处：《西南师范大学学报（自然科学版）》2013年第1期26-30,共5页Journal of Southwest China Normal University(Natural Science Edition)

基　　金：广西自然科学基金资助项目(200991265);广西高等学校科研项目(201204LX394)

摘　　要：本文以挖掘决策者信息作为切入点,针对含参数优先权重的参数确定问题,提出了依据决策者偏好确定参数的3种方法,使得决策结果更能体现决策者的偏好.最后通过算例说明方法的可行性和有效性.With mining information of the decision maker as the breakthrough point, the problem of how to decide the priority weights of AHP is studied in this paper. Then, for the problems of determining the pri- ority weights with parameter, three new methods are proposed to determine the priority weights with pa rameter according to the decision makers＇ preferences. Finally, some examples are given to illustrate the feasibility and validity of the proposed methods.

关 键 词：正互反矩阵 优先权重 参数 偏好 信息挖掘 

分 类 号：O224[理学—运筹学与控制论] C934[理学—数学]