基于犹豫倾向聚类的物流中心选址方法

doi:10.12005/orms.2019.0055

运筹与管理 ›› 2019, Vol. 28 ›› Issue (3): 39-44.DOI: 10.12005/orms.2019.0055

基于犹豫倾向聚类的物流中心选址方法

段冠华¹, 林健¹, 崔春生²

1.福建农林大学计算机与信息学院,福建福州 350002;
2.北京物资学院北京市智能物流系统协同创新中心,北京 101149

收稿日期:2018-10-09 出版日期:2019-03-25
通讯作者: 林健(1983-),男,博士,副教授,研究方向:模糊决策与对策;崔春生(1974-),男,博士,副教授,研究方向:信息管理。
作者简介:段冠华(1995-),男,硕士生,研究方向:模糊聚类
基金资助:
国家自然科学基金资助项目(71601049);北京市智能物流系统协同创新中心面上项目(BILSCIC-2018KF-11);教育部人文社科基金资助项目(16YJC630064); 福建省自然科学基金资助项目(2016J01282)

Logistics Center Location Method Based on Intuitionistic Fuzzy Tendency Clustering

DUAN Guan-hua¹, LIN Jian¹, CUI Chun-sheng²

1.College of Computer and Information, Fujian Agriculture and Forestry University, Fuzhou 350002, China;
2.Beijing Intelligent Logistics System Collaborative Innovation Center, Beijing Wuzi University, Beijing 101149, China

Received:2018-10-09 Online:2019-03-25

摘要/Abstract

摘要： 针对现有直觉模糊相似度量存在的不足,文中提出了考虑带倾向性相似度的直觉模糊相似度量公式,通过构建相似矩阵和等价相似矩阵以及截矩阵,给出新颖的直觉模糊集聚类方法,对物流中心选址问题的应用分析,验证了聚类方法的合理性与有效性。

关键词: 直觉模糊集, 相似性, 聚类, 选址

Abstract: Aiming at the shortcomings of existing intuitionistic fuzzy similarity measure, this paper proposes an intuitionistic fuzzy similarity measure formula with tendency similarity. By constructing similar matrix, equivalent similarity matrix and cutting matrix, a novel intuitionistic fuzzy set clustering method is presented. The application analysis of the location selection of logistics center verifies the rationality and effectiveness of the clustering method.

Key words: intuitionistic fuzzy set, similarity, cluster, location selection

中图分类号:

TP391

段冠华, 林健, 崔春生. 基于犹豫倾向聚类的物流中心选址方法[J]. 运筹与管理, 2019, 28(3): 39-44.

DUAN Guan-hua, LIN Jian, CUI Chun-sheng. Logistics Center Location Method Based on Intuitionistic Fuzzy Tendency Clustering[J]. Operations Research and Management Science, 2019, 28(3): 39-44.

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基于犹豫倾向聚类的物流中心选址方法

Logistics Center Location Method Based on Intuitionistic Fuzzy Tendency Clustering

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