Considering the difficulty of fuzzy synthetic evaluation method in calculation of the multiple factors and ignorance of the relationship among evaluating objects, a new weight evaluation process using entropy method w...Considering the difficulty of fuzzy synthetic evaluation method in calculation of the multiple factors and ignorance of the relationship among evaluating objects, a new weight evaluation process using entropy method was introduced. This improved method for determination of weight of the evaluating indicators was applied in water quality assessment of the Three Gorges reservoir area. The results showed that this method was favorable for fuzzy synthetic evaluation when there were more than one evaluating objects. One calculation was enough for calculating every monitoring point. Compared with the original evaluation method, the method predigested the fuzzy synthetic evaluation process greatly and the evaluation results are more reasonable.展开更多
The intellectual property protection, whether judicial or administrative, is evaluated through a performance evaluation indicator system. To building up such a system, we must follow certain working procedures which u...The intellectual property protection, whether judicial or administrative, is evaluated through a performance evaluation indicator system. To building up such a system, we must follow certain working procedures which usually consist of four steps： to determine the performance objectives, to design the structure of indicator system, to specify the indicators and to set up the weight of indicators. Each step plays a different role in performance evaluation indicator system and has its own impact on the realization of performance evaluation objectives respectively. So the scientifically building up a performance evaluation indicator system is the key to determine whether the intellectual property is protected well or not.展开更多
Special axle wheel for motor vehicle inspection is an indispensable special weighing instrument in the process of actual inspection of motor vehicles. This kind of detector belongs to non-automatic weighing instrument...Special axle wheel for motor vehicle inspection is an indispensable special weighing instrument in the process of actual inspection of motor vehicles. This kind of detector belongs to non-automatic weighing instrument, and certain problems will inevitably occur in the actual use process. At present, with the continuous improvement of social economy in our country, the production and ownership of automobiles are in the process of rapid development, and the safety performance of automobiles has also received increasing attention. However, the actual inspection of the axle wheel weight gauge is mainly to check whether the braking force of the motor vehicle can meet the corresponding standard, which plays a very important role in ensuring the safety performance of the whole vehicle. In recent years, relevant motor vehicle safety inspection agencies have used various inspection standards, from the initial GB 21861-2014, GB 7258-2017 safety inspection standard and GB 18565-2016 comprehensive inspection standard to the current revision of GB 3847-2018 and GB 18285-2018 environmental inspection standards. With the continuous revision of comprehensive inspection standards, the demand for talents of relevant motor vehicle safety inspection agencies is getting higher and higher. Only when the comprehensive ability of relevant staff is continuously improved, can they better deal with the inaccurate and unreliable inspection results of motor vehicle safety inspection agencies. Based on this, this paper studies the evaluation of measurement uncertainty of indication value of special axle (wheel) gravimeter for motor vehicle testing, for reference.展开更多
In recent years,there has been a large amount of literature on missing data.Most of them focus on situations where there is only missingness in response or covariate.In this paper,we consider the adequacy check for th...In recent years,there has been a large amount of literature on missing data.Most of them focus on situations where there is only missingness in response or covariate.In this paper,we consider the adequacy check for the linear regression model with the response and covariates missing simultaneously.We apply model adjustment and inverse probability weighting methods to deal with the missingness of response and covariate,respectively.In order to avoid the curse of dimension,we propose an empirical process test with the linear indicator weighting function.The asymptotic properties of the proposed test under the null,local and global alternative hypothe tical models are rigorously investigated.A consisten t wild boot strap method is developed to approximate the critical value.Finally,simulation studies and real data analysis are performed to show that the proposed method performed well.展开更多
基金The National Natural Science Foundation of China (No. 50378008)
文摘Considering the difficulty of fuzzy synthetic evaluation method in calculation of the multiple factors and ignorance of the relationship among evaluating objects, a new weight evaluation process using entropy method was introduced. This improved method for determination of weight of the evaluating indicators was applied in water quality assessment of the Three Gorges reservoir area. The results showed that this method was favorable for fuzzy synthetic evaluation when there were more than one evaluating objects. One calculation was enough for calculating every monitoring point. Compared with the original evaluation method, the method predigested the fuzzy synthetic evaluation process greatly and the evaluation results are more reasonable.
文摘The intellectual property protection, whether judicial or administrative, is evaluated through a performance evaluation indicator system. To building up such a system, we must follow certain working procedures which usually consist of four steps： to determine the performance objectives, to design the structure of indicator system, to specify the indicators and to set up the weight of indicators. Each step plays a different role in performance evaluation indicator system and has its own impact on the realization of performance evaluation objectives respectively. So the scientifically building up a performance evaluation indicator system is the key to determine whether the intellectual property is protected well or not.
文摘Special axle wheel for motor vehicle inspection is an indispensable special weighing instrument in the process of actual inspection of motor vehicles. This kind of detector belongs to non-automatic weighing instrument, and certain problems will inevitably occur in the actual use process. At present, with the continuous improvement of social economy in our country, the production and ownership of automobiles are in the process of rapid development, and the safety performance of automobiles has also received increasing attention. However, the actual inspection of the axle wheel weight gauge is mainly to check whether the braking force of the motor vehicle can meet the corresponding standard, which plays a very important role in ensuring the safety performance of the whole vehicle. In recent years, relevant motor vehicle safety inspection agencies have used various inspection standards, from the initial GB 21861-2014, GB 7258-2017 safety inspection standard and GB 18565-2016 comprehensive inspection standard to the current revision of GB 3847-2018 and GB 18285-2018 environmental inspection standards. With the continuous revision of comprehensive inspection standards, the demand for talents of relevant motor vehicle safety inspection agencies is getting higher and higher. Only when the comprehensive ability of relevant staff is continuously improved, can they better deal with the inaccurate and unreliable inspection results of motor vehicle safety inspection agencies. Based on this, this paper studies the evaluation of measurement uncertainty of indication value of special axle (wheel) gravimeter for motor vehicle testing, for reference.
基金This research was supported by Key projects of philosophy and social science in Beijing(15ZDA47)National Natural Science Foundation of China(Grant Nos.11571340,11971045)Beijing Natural Science Foundation(1202001)and the Open Project of Key Laboratory of Big Data Mining and Knowledge Management,Chinese Academy of Sciences.
文摘In recent years,there has been a large amount of literature on missing data.Most of them focus on situations where there is only missingness in response or covariate.In this paper,we consider the adequacy check for the linear regression model with the response and covariates missing simultaneously.We apply model adjustment and inverse probability weighting methods to deal with the missingness of response and covariate,respectively.In order to avoid the curse of dimension,we propose an empirical process test with the linear indicator weighting function.The asymptotic properties of the proposed test under the null,local and global alternative hypothe tical models are rigorously investigated.A consisten t wild boot strap method is developed to approximate the critical value.Finally,simulation studies and real data analysis are performed to show that the proposed method performed well.
