基于模糊证据推理的跨境物流服务提供商选择
Selection of cross-border logistics service providers based on fuzzy evidential reasoning
梁晶 1郭梦慧 1范瀚文1
作者信息
- 1. 大连海事大学交通运输工程学院,辽宁大连 116026
- 折叠
摘要
为合理地选择跨境物流服务提供商,构建基于模糊证据推理的评价模型.基于跨境物流的特点,综合考虑备选物流服务提供商的硬性和软实力指标,利用相关性分析进行指标筛选,构建科学的物流服务提供商评价体系.引入精确数、区间数和语义模糊数等多种量化方法弥补指标不易量化的缺陷,通过博弈论组合赋权法确定指标权重.运用模糊证据推理方法有效处理指标类型多样和体系结构复杂带来的不确定性.组合赋权方法比其他两种赋权方法对备选物流服务提供商的区分度分别提升了 3.055和3.396个百分点.结果验证了所提出模型的优势,为跨境企业的决策提供科学的参考依据.
Abstract
In order to select cross-border logistics service providers rationally,an evaluation model based on the fuzzy evidential reasoning algorithm is constructed.On the basis of the distinctive characteristics of cross-border logistics,hard and soft indicators of alternative logistics service providers are taken into account comprehensively.The correlation analysis is employed to screen these indicators,thereby establishing a scientific evaluation system for logistics service providers.Various quantitative processing methods(such as exact numbers,interval numbers,and semantic fuzzy numbers)are introduced to overcome unquantifiable defects of indicators.The index weights are determined using the combination weighting method of game theory.The fuzzy evidential reasoning method is employed to effectively address the uncertainty caused by various index types and complex system structures.The combination weighting method enhances the differentiation of alternative logistics service providers by 3.055 and 3.396 percentage point,respectively,compared with the other two weighting methods.This finding verifies the advantage of the proposed model and provides scientific references for the decision-making of cross-border enterprises.
关键词
模糊证据推理/组合赋权法/跨境物流/服务提供商选择Key words
fuzzy evidential reasoning/combination weighting method/cross-border logistics/service provider selection引用本文复制引用
出版年
2024
NETL
NSTL
万方数据