北大中文核心期刊
中国科学引文数据库（CSCD）来源期刊
中国科技核心期刊
入选数学领域高质量科技期刊
Scopus
EBSCO 

运筹学学报 ›› 2016, Vol. 20 ›› Issue (3): 121-128.doi: 10.15960/j.cnki.issn.1007-6093.2016.03.013

• 运筹学 • 上一篇    

求解物流运输网络SUM-MIN双目标路径问题的扩展标号法

韩世莲1,*   

  1. 1. 南京财经大学营销与物流管理学院，南京 210046
  • 收稿日期:2014-12-05 出版日期:2016-09-15 发布日期:2016-09-15
  • 通讯作者: 韩世莲 shilianhan@163.com
  • 基金资助:

    国家自然科学基金(No.71371049), 教育部人文社会科学研究规划基金(No.13YJA630025), 教育部留学回国人员科研启动基金

An extended label correcting method for the SUM-MIN bi-criterion path problem in logistics transportation network

HAN Shilian1,*   

  1. 1. School of Marketing and Logistics Management，Nanjing University of Finance & Economics，Nanjing 210046，China
  • Received:2014-12-05 Online:2016-09-15 Published:2016-09-15

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摘要：

研究了物流运输网络SUM-MIN双目标路径问题. 基于模糊规划方法提出了一种求解SUM-MIN双目标路径问题的目标函数集成方法，以及集成后目标函数的扩展标号法. 在将双目标转化为单目标时，综合考虑了每个目标的边缘评价和两个目标的整体评价因素，通过对每个目标分配的权重将决策者的偏好充分体现到决策过程中，采用广义的模糊目标集成算子形成了相应的折衷规划模型. 最后，通过实例对所提方法进行了说明.

关键词: 物流管理, 模糊折衷模型, 扩展标号法, SUM-MIN双目标路径问题

Abstract:

The paper concentrates on the SUM-MIN bi-criterion path problem in the logistics transportation network. An objective aggregation method based on the fuzzy compromise programming technique and an extended label correcting method to solve the aggregated objective are proposed. In the process of aggregating multiple objectives to a single one, the edge evaluation for each objective and the overall evaluation for all the objectives are considered. By assigning the weights to each objective, the decision maker's preference information can be integrated in this aggregation process, and the fuzzy compromise solution can be obtained with the generic aggregation method. Finally, a numerical example shows the solution process of the proposed approach.

Key words: logistics management, fuzzy compromise programming, extended label correcting method, SUM-MIN bi-criterion path problem