摘要
无废与智慧理念具有内在关联性, 智慧城市 和无废城市融合发展,
对我国无废城市建设工作开展具 有重要意义.
针对智慧无废城市序贯式评选无后效性、多阶 段和连续性特点, 文章在 EDAS
框架下以犹豫模糊集表 征决策信息提出了一种序贯式群决策方法. 首先,
分析序贯决策阶段权重的影响因素包括方案决策信息及权重先验信息,
据此建立以方案满意度为基点和优先得分函数为约束的阶段权重分配模型.
其次, 研究犹豫模糊 EDAS 决策方法,
力求在兼容群体不可调和的观点和利益条件下,
集结方案在各阶段多属性下的犹豫模糊决策信息,
继而提出了智慧无废城市评选序贯式群决策 EDAS 方法. 最后,
将所提方法应用于云南省智慧无废城市评选问题. 结果显示,
所提方法评选结果与实际情况相符, 易于推广和普及.
Abstract
The concepts of zero waste and smart
are inherently related, and the integrated development
of smart cities and waste-free cities is of great
significance to the construction of waste-free
cities in our country. Aiming at the characteristics
of sequential selection of smart and non-waste cities
with no aftereffect, multi-stage and continuity, this
paper proposes a sequential group decision-making
method based on the hesitant fuzzy set as the decision
information carrier under the EDAS framework. First,
analyze the influencing factors of sequential
decision-making stage weights, including scheme
decision information and weight prior information,
and establish a stage weight measurement model
based on scheme satisfaction as a base point and
priority score function as a constraint. Secondly,
research hesitant fuzzy EDAS decision-making methods,
and strive to build hesitant fuzzy decision-making
information under multiple attributes at various
stages under the irreconcilable viewpoints and
interests of compatible groups, and then propose
a sequential group decision-making EDAS for
intelligent and zero waste city method. Finally,
the proposed method is applied to the practical
problems of the selection of smart zero waste
cities in Yunnan Province. The results show that
the results of the proposed method are consistent
with the actual situation and easy to understand and apply.
关键词
智慧无废城市, 序贯群决策, 犹豫模糊集, EDAS, TOPSIS.
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彭定洪, 张文华.
智慧无废城市评选的序贯式群决策 EDAS 法. 系统科学与数学, 2021, 41(3): 688-704. https://doi.org/10.12341/jssms19513
PENG Dinghong, ZHANG Wenhua.
Sequential Group EDAS Decision Making Method for Smart Zero
Waste City Selection. Journal of Systems Science and Mathematical Sciences, 2021, 41(3): 688-704 https://doi.org/10.12341/jssms19513
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