本文以教育信息化投资优化与管理为应用背景,探讨建立教育信息化投资决策与管理和评价智能决策支持系统(Intelligent Decision Support System of Investment Decision,Management and Evaluation for E_educiation简称IDME_IDSS)的框...本文以教育信息化投资优化与管理为应用背景,探讨建立教育信息化投资决策与管理和评价智能决策支持系统(Intelligent Decision Support System of Investment Decision,Management and Evaluation for E_educiation简称IDME_IDSS)的框架。目的是使得政府投入基础教育信息化的有限资源产生最大的效益。展开更多
The research established land degradation monitoring and assessment in- dex system of farmland ecosystem under influence of human activities, including farming system, measures, mulch residuals, fertilizer pollutions,...The research established land degradation monitoring and assessment in- dex system of farmland ecosystem under influence of human activities, including farming system, measures, mulch residuals, fertilizer pollutions, pesticide pollution, irrigation method, salt content of soils, engineering measures of discharging alkali, agricultural protection forests and poverty. The indices of the system are accessible, and convenient for operation, which is suitable for land managers self-monitoring, re- ducing irrational farming activities, improving farmland productivity and preventing farmland degradation.展开更多
Based on the data of 13 eco-environmental indicators of 14 prefecture level cities in Hunan Province from 2014 to 2018,this paper quantitatively evaluated the eco-environmental competitiveness and its advantages and d...Based on the data of 13 eco-environmental indicators of 14 prefecture level cities in Hunan Province from 2014 to 2018,this paper quantitatively evaluated the eco-environmental competitiveness and its advantages and disadvantages by principal component analysis(PCA).The results showed that:(1)the overall ecoenvironmental competitiveness of Hunan Province was relatively high,whereas the competitiveness level of each city and prefecture was quite different.The comprehensive score of eco-environmental competitiveness of Changsha City was 2.96,ranking the first,and Zhangjiajie city ranking the last with a score of-1.60,which indicated that there was an obvious difference in the level of eco-environmental competitiveness among different regions.(2)The overall eco-environmental competitiveness of cities and prefectures in Western Hunan Province was weak.Among the 14 prefectures and cities in Hunan Province,the comprehensive scores of eco-environmental competitiveness of 6 prefectures and cities were negative,whereas the scores of Zhangjiajie,Xiangxi and Huaihua in Western Hunan were all lower than the others.In the face of increasingly serious environmental problems,cities and prefectures should adjust measures according to local conditions and put forward specific measures to enhance environmental competitiveness.In particular,cities and prefectures in Western Hunan should give full play to their advantages in ecological resources,take the path of green development,enhance the competitiveness of ecological environment,and provide support for local economic development.展开更多
Due to the complex features of rock mass blastability assessment systems, an evaluation model of rock mass blastability was established on the basis of the unascertained measurement （UM） theory and the actual charac...Due to the complex features of rock mass blastability assessment systems, an evaluation model of rock mass blastability was established on the basis of the unascertained measurement （UM） theory and the actual characteristics of the project. Considering a comprehensive range of intact rock properties and discontinuous structures of rock mass, twelve main factors influencing the evaluation blastability of rock mass were taken into account in the UM model, and the blastability evaluation index system of rock mass was constructed. The unascertained evaluation indices corresponding to the selected factors for the actual situation were solved both qualitatively and quantitatively. Then, the UM function of each evaluation index was obtained based on the initial data for the analysis of the blastability of six rock mass at a highway improvement cutting site in North Wales. The index weights of the factors were calculated by entropy theory, and credible degree identification （CDI） criteria were established according to the UM theory. The results of rock mass blastability evaluation were obtained by the CDI criteria. The results show that the UM model assessment results agree well with the actual records, and are consistent with those of the fuzzy sets evaluation method. Meanwhile, the unascertained superiority degree of rock mass blastability of samples S1-$6 which can be calculated by scoring criteria are 3.428 5, 3.453 3, 4.058 7, 3.675 9, 3.516 7 and 3.289 7, respectively. Furthermore, the proposed method can take into account large amount of uncertain information in blastability evaluation, which can provide an effective, credible and feasible way for estimating the blastability of rock mass. Engineering practices show that it can complete the blastability assessment systematically and scientifically without any assumption by the proposed model, which can be applied to practical engineering.展开更多
文摘本文以教育信息化投资优化与管理为应用背景,探讨建立教育信息化投资决策与管理和评价智能决策支持系统(Intelligent Decision Support System of Investment Decision,Management and Evaluation for E_educiation简称IDME_IDSS)的框架。目的是使得政府投入基础教育信息化的有限资源产生最大的效益。
基金Supported Land Degradation Management and Policy Support Program,Control Partnership of Land Degradation of Drought Ecosystem of China-Global Environment Foundation~~
文摘The research established land degradation monitoring and assessment in- dex system of farmland ecosystem under influence of human activities, including farming system, measures, mulch residuals, fertilizer pollutions, pesticide pollution, irrigation method, salt content of soils, engineering measures of discharging alkali, agricultural protection forests and poverty. The indices of the system are accessible, and convenient for operation, which is suitable for land managers self-monitoring, re- ducing irrational farming activities, improving farmland productivity and preventing farmland degradation.
文摘Based on the data of 13 eco-environmental indicators of 14 prefecture level cities in Hunan Province from 2014 to 2018,this paper quantitatively evaluated the eco-environmental competitiveness and its advantages and disadvantages by principal component analysis(PCA).The results showed that:(1)the overall ecoenvironmental competitiveness of Hunan Province was relatively high,whereas the competitiveness level of each city and prefecture was quite different.The comprehensive score of eco-environmental competitiveness of Changsha City was 2.96,ranking the first,and Zhangjiajie city ranking the last with a score of-1.60,which indicated that there was an obvious difference in the level of eco-environmental competitiveness among different regions.(2)The overall eco-environmental competitiveness of cities and prefectures in Western Hunan Province was weak.Among the 14 prefectures and cities in Hunan Province,the comprehensive scores of eco-environmental competitiveness of 6 prefectures and cities were negative,whereas the scores of Zhangjiajie,Xiangxi and Huaihua in Western Hunan were all lower than the others.In the face of increasingly serious environmental problems,cities and prefectures should adjust measures according to local conditions and put forward specific measures to enhance environmental competitiveness.In particular,cities and prefectures in Western Hunan should give full play to their advantages in ecological resources,take the path of green development,enhance the competitiveness of ecological environment,and provide support for local economic development.
基金Project(50934006) supported by the National Natural Science Foundation of ChinaProject(2010CB732004) supported by the National Basic Research Program of China+1 种基金Project(2009ssxt230) supported by the Central South University Innovation Fund,ChinaProject(CX2011B119) supported by the Graduated Students’Research and Innovation Fund of Hunan Province,China
文摘Due to the complex features of rock mass blastability assessment systems, an evaluation model of rock mass blastability was established on the basis of the unascertained measurement （UM） theory and the actual characteristics of the project. Considering a comprehensive range of intact rock properties and discontinuous structures of rock mass, twelve main factors influencing the evaluation blastability of rock mass were taken into account in the UM model, and the blastability evaluation index system of rock mass was constructed. The unascertained evaluation indices corresponding to the selected factors for the actual situation were solved both qualitatively and quantitatively. Then, the UM function of each evaluation index was obtained based on the initial data for the analysis of the blastability of six rock mass at a highway improvement cutting site in North Wales. The index weights of the factors were calculated by entropy theory, and credible degree identification （CDI） criteria were established according to the UM theory. The results of rock mass blastability evaluation were obtained by the CDI criteria. The results show that the UM model assessment results agree well with the actual records, and are consistent with those of the fuzzy sets evaluation method. Meanwhile, the unascertained superiority degree of rock mass blastability of samples S1-$6 which can be calculated by scoring criteria are 3.428 5, 3.453 3, 4.058 7, 3.675 9, 3.516 7 and 3.289 7, respectively. Furthermore, the proposed method can take into account large amount of uncertain information in blastability evaluation, which can provide an effective, credible and feasible way for estimating the blastability of rock mass. Engineering practices show that it can complete the blastability assessment systematically and scientifically without any assumption by the proposed model, which can be applied to practical engineering.
