In terms of the working quality of agricultural production and the working quality of non-agricultural production, the evaluation index system of the working quality of farmers is established. By using integrated fuzz...In terms of the working quality of agricultural production and the working quality of non-agricultural production, the evaluation index system of the working quality of farmers is established. By using integrated fuzzy method based on AHP, we determine the weight of each index, and establish membership matrix of this evaluation index system. Taking Jilin Province as an example, we select developed regions, underdeveloped regions and comparatively developed regions respectively to conduct survey. By using the data from survey, according to the established evaluation index system, we conduct empirical analysis of the working quality of farmers. The results show that the working quality of farmers in the developed regions is relatively high, the working quality of farmers in the comparatively developed regions is ordinary, and the working quality of farmers in the underdeveloped regions is relatively low; the physical quality, educational quality and technological quality of farmers in the developed regions are high; the operation quality of agricultural production of farmers in the underdeveloped regions is high; the operation quality of non-agricultural production of farmers in the comparatively developed regions is high; the working quality of agricultural production of farmers in the comparatively developed regions and underdeveloped regions is higher than the working quality of non-agricultural production of farmers in the comparatively developed regions and underdeveloped regions; the working quality of non-agricultural industries of farmers in the developed regions is higher than the working quality of agricultural production. The urgent priority of constructing new village is to coordinate urban-rural development, and to offer preferential policies and capital for the villages with backward economic development level.展开更多
The present building facility management status in China resulted in many problems such as high energy consumption,failure of automation control,services failure and poor indoor air quality.Based on questionnaires and...The present building facility management status in China resulted in many problems such as high energy consumption,failure of automation control,services failure and poor indoor air quality.Based on questionnaires and interviews to professional engineers and building users,a comprehensive evaluation index system was established on facility management of high-rise office buildings.A Fuzzy AHP based upon hierarchy criteria system was established.A Fuzzy AHP Evaluation Model on Facility Management System was set up;α-cut analysis was introduced and incorporated with expert knowledge together,which made up the optimism index λ.The fuzzy optimum crisp weight of each criterion was resulted from data-mining.Case investigations were processed in high-rise office buildings in Shenyang.The results illustrated that indoor air quality,thermal comfort and life cycle cost were the most important indexes in the evaluation of Facility Management System of high rise office buildings.Residents in high-rise buildings in Shenyang pay less attention to maintenance management and environment protection.By comparison with the analysis result of Export Choice,Fuzzy AHP-based evaluation model could act as a scientific reference for the establishment of governmental standards in facility management area in building.展开更多
Traditional clustering method is easy to slow convergence speed because of high data dimension and setting random initial clustering center. To improve these problems, a novel method combining subtractive clustering w...Traditional clustering method is easy to slow convergence speed because of high data dimension and setting random initial clustering center. To improve these problems, a novel method combining subtractive clustering with fuzzy C-means( FCM)clustering will be advanced. In the method, the initial cluster number and cluster center can be obtained using subtractive clustering. On this basis,clustering result will be further optimized with FCM. In addition,the data dimension will be reduced through the analytic hierarchy process( AHP) before clustering calculating.In order to verify the effectiveness of fusion algorithm,an example about enterprise credit evaluation will be carried out. The results show that the fusion clustering algorithm is suitable for classifying high-dimension data,and the algorithm also does well in running up processing speed and improving visibility of result. So the method is suitable to promote the use.展开更多
文摘In terms of the working quality of agricultural production and the working quality of non-agricultural production, the evaluation index system of the working quality of farmers is established. By using integrated fuzzy method based on AHP, we determine the weight of each index, and establish membership matrix of this evaluation index system. Taking Jilin Province as an example, we select developed regions, underdeveloped regions and comparatively developed regions respectively to conduct survey. By using the data from survey, according to the established evaluation index system, we conduct empirical analysis of the working quality of farmers. The results show that the working quality of farmers in the developed regions is relatively high, the working quality of farmers in the comparatively developed regions is ordinary, and the working quality of farmers in the underdeveloped regions is relatively low; the physical quality, educational quality and technological quality of farmers in the developed regions are high; the operation quality of agricultural production of farmers in the underdeveloped regions is high; the operation quality of non-agricultural production of farmers in the comparatively developed regions is high; the working quality of agricultural production of farmers in the comparatively developed regions and underdeveloped regions is higher than the working quality of non-agricultural production of farmers in the comparatively developed regions and underdeveloped regions; the working quality of non-agricultural industries of farmers in the developed regions is higher than the working quality of agricultural production. The urgent priority of constructing new village is to coordinate urban-rural development, and to offer preferential policies and capital for the villages with backward economic development level.
文摘The present building facility management status in China resulted in many problems such as high energy consumption,failure of automation control,services failure and poor indoor air quality.Based on questionnaires and interviews to professional engineers and building users,a comprehensive evaluation index system was established on facility management of high-rise office buildings.A Fuzzy AHP based upon hierarchy criteria system was established.A Fuzzy AHP Evaluation Model on Facility Management System was set up;α-cut analysis was introduced and incorporated with expert knowledge together,which made up the optimism index λ.The fuzzy optimum crisp weight of each criterion was resulted from data-mining.Case investigations were processed in high-rise office buildings in Shenyang.The results illustrated that indoor air quality,thermal comfort and life cycle cost were the most important indexes in the evaluation of Facility Management System of high rise office buildings.Residents in high-rise buildings in Shenyang pay less attention to maintenance management and environment protection.By comparison with the analysis result of Export Choice,Fuzzy AHP-based evaluation model could act as a scientific reference for the establishment of governmental standards in facility management area in building.
基金Innovation Program of Shanghai Municipal Education Commission,China(No.12YZ191)
文摘Traditional clustering method is easy to slow convergence speed because of high data dimension and setting random initial clustering center. To improve these problems, a novel method combining subtractive clustering with fuzzy C-means( FCM)clustering will be advanced. In the method, the initial cluster number and cluster center can be obtained using subtractive clustering. On this basis,clustering result will be further optimized with FCM. In addition,the data dimension will be reduced through the analytic hierarchy process( AHP) before clustering calculating.In order to verify the effectiveness of fusion algorithm,an example about enterprise credit evaluation will be carried out. The results show that the fusion clustering algorithm is suitable for classifying high-dimension data,and the algorithm also does well in running up processing speed and improving visibility of result. So the method is suitable to promote the use.
