运筹与管理 ›› 2016, Vol. 25 ›› Issue (6): 47-52.DOI: 10.12005/orms.2016.0200

• 理论分析与方法探讨 • 上一篇    下一篇

基于证据推理与最优指派策略的多属性单边匹配决策

林杨1,2, 王应明2, 陈圣群3   

  1. 1.福建师范大学 经济学院,福建,福州 350117;
    2.福州大学 经济管理学院,福建 福州 350116;
    3.福建江夏学院 电子信息科学学院,福建 福州 350116
  • 收稿日期:2015-04-14 出版日期:2016-12-20
  • 作者简介:林杨(1983-),男, 博士研究生,研究方向:最优化理论, 决策分析;王应明(1964-),男, 博士,教授,研究方向:决策理论与方法, 数据包络分析。
  • 基金资助:
    国家自然科学基金(70925004, 71371053);福建师范大学教学改革研究项目资助(I201603023);福建省中青年教师教育科研项目(JAS160132);福建省社科规划青年项目(FJ2015C111)

Multi-attribute Unilateral Matching Decision Based on EvidentialReasoning and Optimal Assignment Strategy

LIN Yang1,2, WANG Ying-ming2, CHEN Sheng-qun3   

  1. 1.Schools of Economics, Fujian Normal University, Fuzhou 350117, China;
    2.School of Economics and Management, Fuzhou University, Fuzhou 350116, China;
    3.School of Electronic Information Science, Fujianjiangxia University, Fuzhou 350116, China
  • Received:2015-04-14 Online:2016-12-20

摘要: 针对匹配中某一方偏好失效的问题,提出一种基于证据推理和最优指派策略的单边匹配方法。一方主体采用多种数据类型描述由对方指定的多个属性信息;另一方给出关于各属性的权重信息;然后,使用证据推理组合规则递推合成多属性及权重信息,以此计算双方的匹配度。在此基础上,运用最优指派策略,建立匹配模型并求解得到匹配结果.实例表明该方法的可行性和有效性。

关键词: 单边匹配, 偏好失效, 去模糊化, 证据推理, 优化模型

Abstract: Aimed For at the problem of preference failure within one-sided in matching decision making, an approach based on evidential reasoning and optimal assignment strategy is proposed. Agents on the onesied provide multiple attribute specified by those on the other side. Various types of values, such as real number, intervals or fuzzy numbers are involved in the attribute description. Accordingly, the other-sided agents provide their weight information for each attribute. Thus, the matching degree between a pair the of agents is generated by a recursive computation of evidential reasoning. An optimization model is built based on the matching degree and the matching results are obtained by solving this model. Finally, a numerical example is provided to illustrate the feasibility and effectiveness of this method.

Key words: unilateral matching, preference failure, defuzzification, evidential reasoning, optimal model

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