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属性值为区间数的决策对象预期理论模型研究
引用本文:黄智力,刘健,刘思峰,周献中,罗键.属性值为区间数的决策对象预期理论模型研究[J].系统工程与电子技术,2012,34(5):977-981.
作者姓名:黄智力  刘健  刘思峰  周献中  罗键
作者单位:1. 厦门大学信息科学与技术学院, 福建 厦门 361005;; 2. 南京航空航天大学经济与管理学院, 江苏 南京 210016; 3. 南京大学工程管理学院, 江苏 南京 210093
基金项目:国家自然科学基金(70971064,70971062,71171107);国家社会科学基金重点项目(08AJY024)资助课题
摘    要:针对属性值为区间数的多属性决策中不同区间数相互比较具有相同可能度的问题进行研究。根据决策者不同的风险偏好将其分为3类,对不同风险偏好类型的决策者提出相应的预期理论模型,确定区间数之间的优势关系。在此基础之上,提出决策对象优势关系及优势度矩阵,并根据优势度数值对决策对象进行排序择优。最后,通过实例验证新排序算法的科学性与有效性。

关 键 词:多属性决策  区间数  预期理论  优势关系  优势矩阵

Prospect theory model for multiple criteria decision making alternative with interval number
HUANG Zhi-li , LIU Jian , LIU Si-feng , ZHOU Xian-zhong , LUO Jian.Prospect theory model for multiple criteria decision making alternative with interval number[J].System Engineering and Electronics,2012,34(5):977-981.
Authors:HUANG Zhi-li  LIU Jian  LIU Si-feng  ZHOU Xian-zhong  LUO Jian
Institution:1. School of Information Science and Technology, Xiamen University, Xiamen 361005, China;; 2. School of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;; 3. School of Engineering Management, Nanjing University, Nanjing 210093, China
Abstract:In view of the problem that different interval numbers have the same possibility degree values in multiple criteria decision making(MCDM) with interval numbers,the decision makers are divided into three different types according to their risk preferences,and three risk preferences assumption models corresponding to different type decision makers are proposed to determine the advantage relation for interval numbers.Then the advantage relation of the alternatives and advantage degree matrix are proposed to rank all the alternatives as well as select the best one based on the advantage degree values of the alternatives.Finally,a realistic example is used to demonstrate that the proposed ranking technology is a useful and effective tool.
Keywords:multiple criteria decision making(MCDM)  interval number  prospect theory  advantage relation  advantage matrix
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