In this paper, classification models are used as tools to make final decision. Fuzzy method provides the mathematical tools for quantitative analysis and dealing with ambiguous concepts. Analytic Hierarchy Process (AH...In this paper, classification models are used as tools to make final decision. Fuzzy method provides the mathematical tools for quantitative analysis and dealing with ambiguous concepts. Analytic Hierarchy Process (AHP) is used to obtain the weight of each index and enables examiners to visualize the decision process and obtain more reasonable evaluation values to solve some problems. An example is given at the end of this paper.展开更多
A vector loop algebra and its extended loop algebra are proposed, which are devoted to obtaining the Tu hierarchy. By making use of the extended trace identity, the Harniltonian structure of the Tu hierarchy is constr...A vector loop algebra and its extended loop algebra are proposed, which are devoted to obtaining the Tu hierarchy. By making use of the extended trace identity, the Harniltonian structure of the Tu hierarchy is constructed. Furthermore, we apply the quadratic-form identity to the integrable coupling system of the Tu hierarchy.展开更多
This paper proposes a proper methodology in data modification by using AHP （analytical hierarchy process） technique and FCM （fuzzy c-mean） model in the ICU （intensive care unit）. The binary data were created fro...This paper proposes a proper methodology in data modification by using AHP （analytical hierarchy process） technique and FCM （fuzzy c-mean） model in the ICU （intensive care unit）. The binary data were created from continuous data using FCM model, while the continuous data were constructed from binary data using AHP technique. The models used in this study are FCRM （fuzzy c-regression model）. A case study in scale of health at the ICU ward using the AI-IP, FCM model and FCRM models was conducted. There are six independent variables in this study. There are four cases which are considered as the result of using AHP technique and FCM model against independent data. After comparing the four cases, it was found that case 4 appeared to be the best model, because it has the lowest MSE （mean square error） value. The original data have the MSE value of 97.33, while the data in case 4 have the MSE value of 82.75. This means that the use of AHP technique can reduce the MSE value, while the use of FCM model can not reduce the MSE value. In other words, it can be proved that the AHP technique can increase the accuracy of prediction in modeling scale of health which is associated with the mortality rate in the ICU.展开更多
提出一种基于RRV(rapidly-exploring random vine)的混合采样算法(HS-RRV),以解决空间机械臂在拥挤杂乱环境下进行装配操作时运动规划效率低下的问题。首先,提出同时在工作空间和构形空间采样的策略,且采样权重随着算法进程动态调节,从...提出一种基于RRV(rapidly-exploring random vine)的混合采样算法(HS-RRV),以解决空间机械臂在拥挤杂乱环境下进行装配操作时运动规划效率低下的问题。首先,提出同时在工作空间和构形空间采样的策略,且采样权重随着算法进程动态调节,从而能够在保证算法完备性的前提下充分利用工作空间信息缩小采样范围以提高算法规划效率。其次,在局部规划器设计中,利用分层二次最小二乘规划方法,考虑了机械臂运动学和动力学特性与约束,提高了所规划轨迹的可执行性。当算法陷入局部复杂区域时,利用桥测试和主成分分析法对局部空间类型进行辨识,从而获取更加高效的拓展方向。最后,对所提方法与现有方法在多种装配场景下进行对比仿真,结果表明本方法有更高的运行效率和规划成功率,以及较短的轨迹长度。展开更多
We propose a decision method -double scale method to derive the priority vector of finite alternatives with respect to a single criterion based on competition model. Compared with the attribute hierarchical model, the...We propose a decision method -double scale method to derive the priority vector of finite alternatives with respect to a single criterion based on competition model. Compared with the attribute hierarchical model, the double scale method is reasonable and practical.展开更多
文摘In this paper, classification models are used as tools to make final decision. Fuzzy method provides the mathematical tools for quantitative analysis and dealing with ambiguous concepts. Analytic Hierarchy Process (AHP) is used to obtain the weight of each index and enables examiners to visualize the decision process and obtain more reasonable evaluation values to solve some problems. An example is given at the end of this paper.
文摘A vector loop algebra and its extended loop algebra are proposed, which are devoted to obtaining the Tu hierarchy. By making use of the extended trace identity, the Harniltonian structure of the Tu hierarchy is constructed. Furthermore, we apply the quadratic-form identity to the integrable coupling system of the Tu hierarchy.
文摘This paper proposes a proper methodology in data modification by using AHP （analytical hierarchy process） technique and FCM （fuzzy c-mean） model in the ICU （intensive care unit）. The binary data were created from continuous data using FCM model, while the continuous data were constructed from binary data using AHP technique. The models used in this study are FCRM （fuzzy c-regression model）. A case study in scale of health at the ICU ward using the AI-IP, FCM model and FCRM models was conducted. There are six independent variables in this study. There are four cases which are considered as the result of using AHP technique and FCM model against independent data. After comparing the four cases, it was found that case 4 appeared to be the best model, because it has the lowest MSE （mean square error） value. The original data have the MSE value of 97.33, while the data in case 4 have the MSE value of 82.75. This means that the use of AHP technique can reduce the MSE value, while the use of FCM model can not reduce the MSE value. In other words, it can be proved that the AHP technique can increase the accuracy of prediction in modeling scale of health which is associated with the mortality rate in the ICU.
文摘提出一种基于RRV(rapidly-exploring random vine)的混合采样算法(HS-RRV),以解决空间机械臂在拥挤杂乱环境下进行装配操作时运动规划效率低下的问题。首先,提出同时在工作空间和构形空间采样的策略,且采样权重随着算法进程动态调节,从而能够在保证算法完备性的前提下充分利用工作空间信息缩小采样范围以提高算法规划效率。其次,在局部规划器设计中,利用分层二次最小二乘规划方法,考虑了机械臂运动学和动力学特性与约束,提高了所规划轨迹的可执行性。当算法陷入局部复杂区域时,利用桥测试和主成分分析法对局部空间类型进行辨识,从而获取更加高效的拓展方向。最后,对所提方法与现有方法在多种装配场景下进行对比仿真,结果表明本方法有更高的运行效率和规划成功率,以及较短的轨迹长度。
基金This research is supported by National Natural Science foundation of China（10671108） and the Natural Science Foundation of Shandong province（Y2005A04）
文摘We propose a decision method -double scale method to derive the priority vector of finite alternatives with respect to a single criterion based on competition model. Compared with the attribute hierarchical model, the double scale method is reasonable and practical.
