高校科技成果转化是我国高质量发展的重要新引擎,对其进行绩效评价的重要性日益凸显。面对评价过程中出现的不确定信息,引入云模型,提出了一种基于博弈论组合赋权和云模型的高校科技成果转化绩效评价模型,并采用IKLCM(improved Kullback...高校科技成果转化是我国高质量发展的重要新引擎,对其进行绩效评价的重要性日益凸显。面对评价过程中出现的不确定信息,引入云模型,提出了一种基于博弈论组合赋权和云模型的高校科技成果转化绩效评价模型,并采用IKLCM(improved Kullback-Leibler divergence based on cloud model)法计算云相似度距离,得出评价结果。通过对西南地区5个省份的高校进行实证分析,结果表明,该模型综合考虑主客观因素,组合权重科学合理,绩效云模型评价能得到准确可靠的评价结果。展开更多
To prevent and reduce road traffic accidents and improve driver safety awareness and bad driving be-haviors,we propose a safety evaluation method for commercial vehicle driving behavior.Three driving style clas-sifica...To prevent and reduce road traffic accidents and improve driver safety awareness and bad driving be-haviors,we propose a safety evaluation method for commercial vehicle driving behavior.Three driving style clas-sification indexes were extracted using driving data from commercial vehicles and four primary and ten secondary safety evaluation indicators.Based on the stability of commercial vehicles transporting goods,the acceleration index is divided into three levels according to the statistical third quartile,and the evaluation expression of the safety index evaluation is established.Drivers were divided into conservative,moderate,and radical using K-means++.The weights corresponding to each index were calculated using a combination of the analytic hierarchy process(AHP)and criteria importance through intercriteria correlation(CRITIC),and the driving behavior scores of various drivers were calculated according to the safety index score standard.The established AHP-CRITIC safety evaluation model was verified using the actual driving behavior data of commercial vehicle drivers.The calculation results show that the proposed evaluation model can clearly distinguish between the types of drivers with different driving styles,verifying its rationality and validity.The evaluation results can provide a reference for transportation management departments and enterprises.展开更多
文摘高校科技成果转化是我国高质量发展的重要新引擎,对其进行绩效评价的重要性日益凸显。面对评价过程中出现的不确定信息,引入云模型,提出了一种基于博弈论组合赋权和云模型的高校科技成果转化绩效评价模型,并采用IKLCM(improved Kullback-Leibler divergence based on cloud model)法计算云相似度距离,得出评价结果。通过对西南地区5个省份的高校进行实证分析,结果表明,该模型综合考虑主客观因素,组合权重科学合理,绩效云模型评价能得到准确可靠的评价结果。
基金the Natural Science Foundation of Guangxi(No.2020GXNSFDA238011)the Open Fund Project of Guangxi Key Laboratory of Automation Detection Technology and Instrument(No.YQ21203)the Independent Research Project of Guangxi Key Laboratory of Auto Parts and Vehicle Technology(No.2020GKLACVTZZ02)。
文摘To prevent and reduce road traffic accidents and improve driver safety awareness and bad driving be-haviors,we propose a safety evaluation method for commercial vehicle driving behavior.Three driving style clas-sification indexes were extracted using driving data from commercial vehicles and four primary and ten secondary safety evaluation indicators.Based on the stability of commercial vehicles transporting goods,the acceleration index is divided into three levels according to the statistical third quartile,and the evaluation expression of the safety index evaluation is established.Drivers were divided into conservative,moderate,and radical using K-means++.The weights corresponding to each index were calculated using a combination of the analytic hierarchy process(AHP)and criteria importance through intercriteria correlation(CRITIC),and the driving behavior scores of various drivers were calculated according to the safety index score standard.The established AHP-CRITIC safety evaluation model was verified using the actual driving behavior data of commercial vehicle drivers.The calculation results show that the proposed evaluation model can clearly distinguish between the types of drivers with different driving styles,verifying its rationality and validity.The evaluation results can provide a reference for transportation management departments and enterprises.
