[1]曾凡龙,倪静,阮俊华,等.基于概率语言组合赋权与MULTIMOORA的多准则决策方法[J].延边大学学报(自然科学版),2022,(02):123-131.
　ZENG Fanlong,NI Jing,YUEN Choon Wah,et al.Multi-criteria decision making method based on probabilistic linguistic combination weighting and MULTIMOORA[J].Journal of Yanbian University,2022,(02):123-131.
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基于概率语言组合赋权与MULTIMOORA的多准则决策方法

《延边大学学报(自然科学版)》[ISSN:1004-4353/CN:22-1191/N] 卷: 期数: 2022年02期 页码: 123-131 栏目: 基础科学研究 出版日期: 2022-07-20
Title:
Multi-criteria decision making method based on probabilistic linguistic combination weighting and MULTIMOORA
文章编号:
1004-4353(2022)02-0123-09
作者:
曾凡龙1;  倪静2;  阮俊华3;  王耀燕1
(1.义乌工商职业技术学院, 浙江 义乌 322000; 2.上海理工大学 管理学院, 上海 200093; 3.马来亚大学 工程学院, 吉隆坡 50603)
Author(s):
ZENG Fanlong1;  NI Jing2;  YUEN Choon Wah3;  WANG Yaoyan1
(1.Yiwu Industrial & Commercial College, Yiwu 322000, China; 2.Business School, University of Shanghai for Science and Technology, Shanghai 200093, China; 3.Faculty of Engineering, University Malaya, Kuala Lumpur 50603, Malaysia)
关键词:
概率语言;  多准则决策;  MULTIMOORA;  组合优化赋权
Keywords:
PLTS;  multi - criteria decision making;  MULTIMOORA;  the combined optimization weighting model
分类号:
C934
文献标志码:
A
摘要:
针对传统的全乘比例多目标优化法(MULTIMOORA)存在的难以表征评价信息的模糊性和不确定性以及评价准则的权重需要从外部获取等问题,提出了一种改进的全乘比例多目标优化法,即基于概率语言组合赋权与MULTIMOORA的多准则决策方法.该方法采用概率语言(PLTS)处理决策者的评价信息,并引入改进的G1和CRITIC法构建组合优化赋权模型以计算评价准则的组合权重.实例对比实验结果表明,改进后的MULTIMOORA决策方法不仅赋权合理,而且具有更高的决策效率和鲁棒性,因此该方法对多准则决策问题具有良好的实际应用价值.
Abstract:
Aiming at the problems that the traditional method of Multiplicative and Multi - Objective Ratio Analysis(MULTIMOORA)is difficult to characterize the fuzziness and uncertainty of evaluation information, and the weight of evaluation criteria needs to be obtained from the outside, an improved method of MULTIMOORA based on Probability Language Set(PLTS)and combined weighting model is proposed. This method uses PLTS to process the evaluation information of decision makers, constructs the combination optimization weighting model by introducing the improved G1 and CRITIC method, and calculates the combination weight of the evaluation criteria. Comparative experiments with examples show that the improved MULTIMOORA decision - making method has reasonable weight, higher decision - making efficiency and stronger robustness.Therefore, this method has practical application value for multi criteria decision making problems.

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备注/Memo

收稿日期: 2022-04-15
基金项目: 教育部人文社会科学基金(19YJAZH064)
第一作者: 曾凡龙(1995—),男,硕士,助教,研究方向为模糊决策、智慧物流.
通信作者: 倪静(1972—),女,博士,副教授,研究方向为模糊决策、智能优化算法.

更新日期/Last Update: 2022-07-20