| 基于FEAHP法和模糊理想点法的B2R低碳物流决策方法 |
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| 引用本文： | 周卫标.基于FEAHP法和模糊理想点法的B2R低碳物流决策方法[J].模糊系统与数学,2020,34(2):135-141. |
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| 作者姓名： | 周卫标 |
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| 作者单位： | 广东邮电职业技术学院经济管理学院,广东广州 510630 |
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| 基金项目： | 2017年广东省本科高校教学质量与教学改革工程特色专业建设“物流管理”项目;2018年广东省普通高校青年创新人才项目;2018年广州大学华软软件学院科学研究项目 |
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| 摘 要： | 在对B2R低碳物流服务商选择决策过程中,构建低碳经济发展下的评价指标体系,建立模糊拓展层次分析法(FEAHP)模型对计算各个指标权重,然后根据模糊理想点法(FTOPSIS)的思想,获得各备择方案与理想解的靠近程度对B2R低碳物流服务商进行排序,选择出最佳的合作伙伴。最后,通过算例证明FEAHP和FTOPSIS具有可靠性和实用性。
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| 关 键 词： | 低碳 物流服务商 FEAHP法 模糊理想点法 |
B2R Low Carbon Logistics Decision-making Method Based on FEAHP and Fuzzy TOPSIS |
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| ZHOU Wei-biao.B2R Low Carbon Logistics Decision-making Method Based on FEAHP and Fuzzy TOPSIS[J].Fuzzy Systems and Mathematics,2020,34(2):135-141. |
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| Authors: | ZHOU Wei-biao |
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| Institution: | (School of Economics and Management,Guangdong Vocational College of Post and Telecom,Guangzhou 510630,China) |
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| Abstract: | In the process in of B2 R low carbon logistics service providers selection, this paper builds evaluation index system under low carbon economy development, establishes fuzzy extent AHP(FEAHP) model to calculate the weight of each index, and then gives the sort of B2 R low carbon logistics service providers to choose the best partner according to the idea of fuzzy TOPSIS(FTOPSIS). Finally, an example is given to demonstrate that the FEAHP and FTOPSIS have reliability and practicability. |
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| Keywords: | Low Carbon Logistics Service Provider FEAHP Fuzzy TOPSIS |
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