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基于区间直觉模糊集的基础设施项目可持续性评价方法 被引量:3

Sustainability Evaluation Model for Infrastructure Projects Based on Interval-valued Intuitionistic Fuzzy Set
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摘要 在决策阶段对基础设施项目可持续性进行科学、客观的评价关系着项目建设的全局。本文在梳理文献的基础上,首先从项目的技术、经济、社会、环境四个方面建立了基础设施项目可持续性评价指标体系;其次,评价中引入区间直觉模糊集,通过创新性提出的"两步骤法"将区间直觉模糊数形式的定性指标值转化为实数形式的定性指标值,以避免传统评价方法数据模糊量化过程中对专家风险偏好的忽视而造成决策信息的流失,并采用加权平均算子对专家意见进行集结;最后在利用熵权法计算各个评价指标最优权重的基础上将评价指标信息进行集结。并基于可持续发展理念对某高速公路项目路线方案进行评价,验证了该方法的可行性。 The scientific and objective infrastructure sustainability evaluation in the decision-making phase has positive impacts on the overall success of infrastructure projects. Based on comprehensive literature reviews, this study initially establishes an indicator system for infrastructure sustainability from aspects including projects' technology, economic impacts, social impacts, and environmental impacts. Furthermore, the qualitative evaluation information of experts is represented by Interval- valued Intuitionistic Fuzzy Set and then an innovative two-stage method with a new WC-OWA operator is developed to transform the fuzzy matrix with interval-valued intuitionistic fuzzy numbers into general matrix with real numbers. As a result, the evaluation information loss caused by ignoring experts' risk preference information during defuzzification in traditional evaluation methods is objectively avoided. Moreover, the weighted average operator is adopted to integrate experts' evalua- tion opinions. In addition, indicators' optimized weights are calculated by entropy method before integrating evaluation indicators' information with weighted average operator. Finally, the case of the highway project is given to validate the feasibility of the proposed method in this study.
作者 孟俊娜 周志浩 于利爽 刘炳胜 MENG Jun-na;ZH OU Zhi-hao;YU Li-shuang;Liu Bing-sheng(College of Management and Economics,Tianjin University,Tianjin 300072 ,Chin)
出处 《模糊系统与数学》 北大核心 2018年第2期137-146,共10页 Fuzzy Systems and Mathematics
基金 国家自然科学基金资助项目(71403181)
关键词 基础设施项目 可持续性评价 区间直觉模糊集 风险偏好 熵权法 Infrastructure Projects Sustainability Evaluation Interval-valued Intuitionistic Fuzzy Set Risk Preference Information Entropy Method
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