基于熵权-云模型的我国绿色智慧城市评价
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摘要
对国内外绿色智慧城市的相关研究基础上,提出熵权与云模型相结合的评价方法。综合考虑主观和客观因素,对指标进行相关分析,确定评价指标集,运用云模型中的X条件云发生器得到各评价对象对应不同等级的隶属度矩阵,并与利用熵权法确定评价对象的客观权重进行模糊变换,将仿真评价结果与支持向量机的评价结果进行比较。仿真评价结果表明熵权—云模型的绿色智慧城市评价优于支持向量机,运用本方法的评价效果是合理有效的。
Based on the research on green smart city at home and abroad;and aiming at the shortcomings and deficiencies of traditional evaluation methods,this paper proposes an evaluation method of combining entropy and cloud model based on the cloud model which can realize the conversion of qualitative concept and quantitative value.This method synthetically considers the subjective and objective factors;carries on the correlation analysis to the index;determines the set of evaluation indicators;uses the X-conditional cloud generator in cloud model to obtain the different levels of membership matrix corresponding to each evaluation object;and carries on the fuzzy transformation by using the entropy weight method to determine the objective weight of the evaluation object;and after that,compares the simulation evaluation results with support vector machine evaluation results.The simulation results show that the entropy weight-cloud model is better than support vector machine in evaluating green smart cities,and the evaluation result of this method is reasonable and effective.
Based on the research on green smart city at home and abroad;and aiming at the shortcomings and deficiencies of traditional evaluation methods,this paper proposes an evaluation method of combining entropy and cloud model based on the cloud model which can realize the conversion of qualitative concept and quantitative value.This method synthetically considers the subjective and objective factors;carries on the correlation analysis to the index;determines the set of evaluation indicators;uses the X-conditional cloud generator in cloud model to obtain the different levels of membership matrix corresponding to each evaluation object;and carries on the fuzzy transformation by using the entropy weight method to determine the objective weight of the evaluation object;and after that,compares the simulation evaluation results with support vector machine evaluation results.The simulation results show that the entropy weight-cloud model is better than support vector machine in evaluating green smart cities,and the evaluation result of this method is reasonable and effective.
引文
[1]Henry S.Rowen.Smart Green Cities[EB/OL].[2017-09-15].http://fsi.stanford.edu/research/smart_green_cities/.
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[11]邹凯,包明林.基于灰色关联理论和BP神经网络的智慧城市发展潜力评价[J].科技进步与对策,2015,32(17):123-128.Zou kai,Bao Minglin.Evaluation of Development Potential of Smart City Based on Grey Relevance Theory and BP Neural Network[J].Scientific and Technological Progress and Countermeasure,2015,32(17):123-128.
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[15]高键,李众.一维云模型映射器设计及其应用研究[J].系统仿真学报,2006,18(7):1861-1865.Gao jian,Li zong.Study on Design and Application of One-Dimension Cloud Model Mapping Processor[J].Journal of System Simulation,2006,18(7):1861-1865.
[16]龚艳冰.基于正态云模型和熵权的河西走廊城市化生态风险综合评价[J].干旱区资源与环境,2012,26(5):169-174.Gong Yanbin.Comprehensive assessment on ecological risk of Hexi Corridor urbanization based on normal cloud model and entropy weight[J].Journal of Arid Land Resources and Environment,2012,26(5):169-174.
[17]王润英,李宇.基于熵-云模型的城市洪灾风险评价模型[J].水电能源科学,2016,34(9):61-63,86.Wang Runying,Li yu.Risk Evaluation of Urban Flood Disaster Based on Entropy-Cloud Model[J].Water Resources and Power,2016,34(9):61-63,86.
[18]周科平,林允,邓红卫,等.熵权-云模型对岩爆等级的预测[J].2016,26(7):1995-2002.ZHOU K P,LIN Y,DENG H W,et al.Transactions of Nonferrous Metals Society of China[J].2016,26(7):1995-2002.
[19]阮永芬,高春钦,李志伟,等.基于改进AHP与熵权法的膨胀土胀缩等级云模型评价[J].江苏大学学报(自然科学版),2017,38(2):218-223.Ruan Yongfen,Gao Chunqin,Li Zhiwei,et al.Cloud model evaluation of swell-shrink grade of swelling soil based on improved analytic hierarchy process and entropy weight method[J].Journal of Jiangsu University(Natural Science Edition),2017,38(2):218-223.
[20]李德毅.知识表示中的不确定性[J].中国工程科学,2000,2(10):73-79.Li Deyi.Uncertainty in Knowledge Representation[J].Engineering Science in China,2000,2(10):73-79.
[21]刘学,董春游.基于云模型与熵权的煤炭城市可持续发展评价[J].经济论坛,2012(8):42-45.Liu xue,Dong Chunyou.Sustainable Development Evaluation of Coal City Based on Cloud Model and Entropy Weight[J].Economic Forum,2012(8):42-45.
[22]董思思,董春游.基于云模型的煤炭建设项目经济评价[J].资源与产业,2013,15(5):68-74.Dong Sisi,Dong Chunyou.Economic Evaluation of Coal Construction Projects Based on Cloud Model[J].Resources and Industry,2013,15(5):68-74.
[2]Rosario Ferrara.The Smart City and the Green Economy in Europe:A Critical Approach[J].Energies(S1996-1073),2015,8(6):4724-4734.
[3]陈劲.绿色城市[M].杭州:浙江大学出版社,2010.Chen jin.Green City[M].Hangzhou:Zhejiang University Press,2010.
[4]郭敏杰.绿色智慧城市打造智慧城市新生态[J].世界电信,2015(7):18-22.Guo Minjie.Green Smart City Creates New Ecology of Smart City[J].World Telecom,2015(7):18-22.
[5]Jin Chen.Innovation Ecosystem for Green Smart City Building in China[J].Front.Eng.(S2095-7513),2015,2(4):325-330.
[6]程杰,赖建华,牛文元.以创新、绿色推进智慧城市建设[J].中国信息界,2013(增1):32-36.Cheng jie,Lai Jianhua,Niu Wenyuan.Promoting Smart City Construction with Innovation and Green[J].China's Information Industry,2013(S1):32-36.
[7]程大章,卫校飞.智慧城市与生态城市的建设[J].智能建筑与智慧城市,2013(4):31-37.Cheng Dazhang,Wei Xiaofei.Smart City and Eco-city Construction[J].Intelligent Building and Intelligent City,2013(4):31-37.
[8]杜芸芝.基于PRED的厦门绿色城市协调发展评价研究[D].福州:福建农林大学,2010.Du Yunzhi.Research on the Evaluation of the Coordinated Development of Xiamen Green City Based on PRED[D].Fuzhou:Fujian Agricultural and Forestry University,2010.
[9]李向辉,李慧慧.基于PRED的沈阳绿色城市协调发展评价探究[J].沈阳建筑大学学报(社会科学版),2015,17(4):373-378.Li Xianghui,Li Hhuihui.Research on the Evaluation of Green City Coordination Development in Shenyang Based on PRED[J].Journal of Shenyang Architectural University(Social Science Edition),2015,17(4):373-378.
[10]黄海燕.灰色关联度对贵州省绿色城市发展的评价[J].安顺学院学报,2013,15(2):132-136.Huang Haiyan.Evaluation of Green City Development in Guizhou Province by Grey Relational Degree[J].Journal of Anshun University,2013,15(2):132-136.
[11]邹凯,包明林.基于灰色关联理论和BP神经网络的智慧城市发展潜力评价[J].科技进步与对策,2015,32(17):123-128.Zou kai,Bao Minglin.Evaluation of Development Potential of Smart City Based on Grey Relevance Theory and BP Neural Network[J].Scientific and Technological Progress and Countermeasure,2015,32(17):123-128.
[12]闰海.我国智慧城市建设水平评价研究[D].太原:太原科技大学,2013.Runhai.Study on the Evaluation of the Construction Level of Intelligent Cities in China[D].Taiyuan:Taiyuan University of Science and Technology,2013.
[13]刘维跃,王海龙,刘凯歌,等.运用熵权/TOPSIS组合模型构建智慧城市的评价体系--以京津沪为实例探究[J].现代城市研究,2015(1):31-36.Liu Weiyao,Wang Hailong,Liu Kaige,et al.Construction of Evaluation System for Smart City Based on the Combination Model of Entropy-Weighting and TOPSIS Methods:By Taking Beijing,Tianjin and Shanghai as an Example[J].Modern Urban Research,2015(1):31-36.
[14]项勇,任宏.基于ANP-TOPSIS方法的智慧城市评价研究[J].工业技术经济,2014,33(4):131-136.Xiang yong,Ren hong.The Study of Smart City Evaluation Based on the ANP-TOPSIS Method[J].Journal of Industrial Technological Economics,2014,33(4):131-136.
[15]高键,李众.一维云模型映射器设计及其应用研究[J].系统仿真学报,2006,18(7):1861-1865.Gao jian,Li zong.Study on Design and Application of One-Dimension Cloud Model Mapping Processor[J].Journal of System Simulation,2006,18(7):1861-1865.
[16]龚艳冰.基于正态云模型和熵权的河西走廊城市化生态风险综合评价[J].干旱区资源与环境,2012,26(5):169-174.Gong Yanbin.Comprehensive assessment on ecological risk of Hexi Corridor urbanization based on normal cloud model and entropy weight[J].Journal of Arid Land Resources and Environment,2012,26(5):169-174.
[17]王润英,李宇.基于熵-云模型的城市洪灾风险评价模型[J].水电能源科学,2016,34(9):61-63,86.Wang Runying,Li yu.Risk Evaluation of Urban Flood Disaster Based on Entropy-Cloud Model[J].Water Resources and Power,2016,34(9):61-63,86.
[18]周科平,林允,邓红卫,等.熵权-云模型对岩爆等级的预测[J].2016,26(7):1995-2002.ZHOU K P,LIN Y,DENG H W,et al.Transactions of Nonferrous Metals Society of China[J].2016,26(7):1995-2002.
[19]阮永芬,高春钦,李志伟,等.基于改进AHP与熵权法的膨胀土胀缩等级云模型评价[J].江苏大学学报(自然科学版),2017,38(2):218-223.Ruan Yongfen,Gao Chunqin,Li Zhiwei,et al.Cloud model evaluation of swell-shrink grade of swelling soil based on improved analytic hierarchy process and entropy weight method[J].Journal of Jiangsu University(Natural Science Edition),2017,38(2):218-223.
[20]李德毅.知识表示中的不确定性[J].中国工程科学,2000,2(10):73-79.Li Deyi.Uncertainty in Knowledge Representation[J].Engineering Science in China,2000,2(10):73-79.
[21]刘学,董春游.基于云模型与熵权的煤炭城市可持续发展评价[J].经济论坛,2012(8):42-45.Liu xue,Dong Chunyou.Sustainable Development Evaluation of Coal City Based on Cloud Model and Entropy Weight[J].Economic Forum,2012(8):42-45.
[22]董思思,董春游.基于云模型的煤炭建设项目经济评价[J].资源与产业,2013,15(5):68-74.Dong Sisi,Dong Chunyou.Economic Evaluation of Coal Construction Projects Based on Cloud Model[J].Resources and Industry,2013,15(5):68-74.
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