运筹与管理 ›› 2015, Vol. 24 ›› Issue (1): 122-128.DOI: 10.12005/orms.2015.0017

• 理论分析与方法探讨 • 上一篇    下一篇

风险型混合多属性消错决策方法

黄灏然1, 俞守华2, 郭开仲3   

  1. 1.仲恺农业工程学院 信息科学与技术学院,广东 广州 510225;
    2.华南农业大学 信息学院,广东 广州 510246;
    3.广东工业大学 管理学院,广东 广州 510520
  • 收稿日期:2013-09-22 出版日期:2015-02-12
  • 作者简介:黄灏然(1982-),男,广东汕头人,在读博士,讲师,研究方向:管理系统工程、消错理论;俞守华(1964-),男,福建福清人,教授,研究方向:系统工程;郭开仲(1951-),男,四川安岳人,教授,博导,研究方向:系统工程、消错理论。
  • 基金资助:
    国家社科基金项目(13BTQ055);国家科学技术学术著作出版基金(201086)

Method for Hybrid Multi-attribute Error-eliminating Decision-making under Risk

HUANG Hao-ran1, YU Shou-hua2, GUO Kai-zhong3   

  1. 1.School of Information Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China;
    2.Information College, South China Agriculture University, Guangzhou 510642, China;
    3.School of Management, Guangdong University of Technology, Guangzhou 510520, China
  • Received:2013-09-22 Online:2015-02-12

摘要: 针对同时包含可线性补偿和不可线性补偿两种属性且属性值为确实数、区间数、语言信息的风险型多属性决策问题,提出一种基于消错理论的决策方法。首先,在消错理论的基础上将属性分为关键型、重要型和冗余型三类,结合属性值的类型分别给出对应的错误函数和极限损失值;接着,对关键型属性赋予极小权重,在保留关键型属性“一票否决”功能的同时又突出重要属性的作用;最后,根据对待错误损失的不同态度,建立计算错误损失值的三种方法,通过计算期望错误损失值对备选方案进行排序。通过新市民信息服务项目的例子,说明该方法的有效性和可行性。

关键词: 决策科学, 消错决策方法, 消错理论, 混合, 风险, 错误损失

Abstract: In multiple attributes decision making problem under risk, the attribute has compensation features of linear and nonlinear and the attribute values have formats of crisp numbers, interval numbers and linguistic information. Thus, a new decision making approach on the base of error-eliminating theory is proposed. Firstly, by the theory of error-eliminating, decision making attributes are divided into key attribute, important attribute and redundant attribute. Error function and maximum loss values are given on the basis of these three kinds of attributes and the type of attribute values. And then, minimum weight is given to key attribute, in this way the “one vote negation” function of key attribute is maintained and the important role of important attribute is highlight. At last, three methods of calculating the error-loss value are given, according to the different attitude about the error-loss, and the better strategy are prioritized and selected according to the expected error-loss values. Besides, the feasibility and effectiveness of this model have been proved by an example of new citizen information service project.

Key words: decision science, error-eliminating decision-making method, error-eliminating theory, hybrid, risk, error-loss

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