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基于IT2F-BWM-MABAC方法的应急物流设施选址方案评价

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针对不确定环境下应急物流设施选址方案评价问题,提出一种基于区间二型模糊集(IT2F)-最优最劣法(BWM)-多属性边界近似区域比较法(MABAC)的应急物流设施选址方案评价方法.首先,针对应急物流设施选址方案评价过程中评价信息的模糊不确定性问题,采用IT2F处理,并利用MABAC对选址方案排序;然后,针对传统的MABAC中属性权重需要从外部获得的问题,采用基于IT2F的BWM确定属性的权重;最后,将所提方法应用于某城市应急物流设施选址方案评价研究,并验证所提选址方法的可行性和有效性.结果表明:所提方法能够解决不确定环境下应急物流设施选址问题,同时能够保证方案评价的质量.
Evaluation of emergency logistics facility location plan based on IT2F-BWM-MABAC method
This paper proposed an evaluation method for emergency logistics facility site selection schemes in uncertain environments based on IT2F-BWM-MABAC.Firstly,in response to the fuzzy uncertainty problem of evaluation information in the evaluation process of emergency logistics facility site selection schemes,an IT2F set was used for processing,and the site selection schemes were ranked in MABAC.In order to address the issue of obtaining attribute weights from external sources in traditional MABAC,BWM based on IT2F was adopted to determine the weights of attributes.Finally,the method proposed in this article was applied to the evaluation of emergency logistics facility location schemes in a certain city,and the feasibility and effectiveness of the proposed location method were verified.The results show that the proposed method can solve the problem of emergency logistics facility location selection in uncertain environments while ensuring the quality of scheme evaluation.

interval type-2 fuzzy(IT2F)best-worst method(BWM)multi-attributive border approximation area comparison(MABAC)site selection of emergency logistics facilitiesscheme evaluation

周青超、叶春明、耿秀丽

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上海理工大学 管理学院,上海 200093

区间二型模糊集(IT2F) 最优最劣法(BWM) 多属性边界近似区域比较法(MABAC) 应急物流设施选址 方案评价

国家自然科学基金上海市哲学社会科学一般项目

722711642022BGL010

2024

10.16265/j.cnki.issn1003-3033.2024.04.0310

中国安全科学学报
中国职业安全健康协会

中国安全科学学报

CSTPCD北大核心
影响因子：1.548
ISSN：1003-3033
年,卷(期)：2024.34(4)
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