S-粗集(singular rough sets)是把动态特征引入到Z.Pawlak粗集中对其加以改进而提出的,S-粗集具有动态特征。S-粗集具有3种形式:单向S-粗集(one direction singular rough sets)、单向S-粗集对偶(dual of one direction singular rough ...S-粗集(singular rough sets)是把动态特征引入到Z.Pawlak粗集中对其加以改进而提出的,S-粗集具有动态特征。S-粗集具有3种形式:单向S-粗集(one direction singular rough sets)、单向S-粗集对偶(dual of one direction singular rough sets)与双向S-粗集(two direction singular rough sets);在一定条件下,单向S-粗集、单向S-粗集对偶与双向S-粗集被还原成Z.Pawlak粗集。利用单向S-粗集和单向S-粗集对偶给出具有属性析取特征的动态数据智能挖掘与应用;属性析取是数据具有的逻辑特征之一。主要结果是:利用单向S-粗集、单向S-粗集对偶结构,给出属性析取萎缩-扩张特征的动态数据生成与它的属性析取萎缩-扩张关系;给出数据推理与推理模型;利用数据推理给出动态数据智能挖掘定理;利用这些理论结果,给出动态数据智能挖掘-智能认知的应用。展开更多
Dynamic numerical simulation of water conditions is useful for reservoir management. In remote semi-arid areas, however, meteorological and hydrological time-series data needed for computation are not frequently measu...Dynamic numerical simulation of water conditions is useful for reservoir management. In remote semi-arid areas, however, meteorological and hydrological time-series data needed for computation are not frequently measured and must be obtained using other information. This paper presents a case study of data generation for the computation of thermal conditions in the Joumine Reservoir, Tunisia. Data from the Wind Finder web site and daily sunshine duration at the nearest weather stations were utilized to generate cloud cover and solar radiation data based on meteorological correlations obtained in Japan, which is located at the same latitude as Tunisia. A time series of inflow water temperature was estimated from air temperature using a numerical filter expressed as a linear second-order differential equation. A numerical simulation using a vertical 2-D （two-dimensional） turbulent flow model for a stratified water body with generated data successfully reproduced seasonal thermal conditions in the reservoir, which were monitored using a thermistor chain.展开更多
文摘S-粗集(singular rough sets)是把动态特征引入到Z.Pawlak粗集中对其加以改进而提出的,S-粗集具有动态特征。S-粗集具有3种形式:单向S-粗集(one direction singular rough sets)、单向S-粗集对偶(dual of one direction singular rough sets)与双向S-粗集(two direction singular rough sets);在一定条件下,单向S-粗集、单向S-粗集对偶与双向S-粗集被还原成Z.Pawlak粗集。利用单向S-粗集和单向S-粗集对偶给出具有属性析取特征的动态数据智能挖掘与应用;属性析取是数据具有的逻辑特征之一。主要结果是:利用单向S-粗集、单向S-粗集对偶结构,给出属性析取萎缩-扩张特征的动态数据生成与它的属性析取萎缩-扩张关系;给出数据推理与推理模型;利用数据推理给出动态数据智能挖掘定理;利用这些理论结果,给出动态数据智能挖掘-智能认知的应用。
文摘Dynamic numerical simulation of water conditions is useful for reservoir management. In remote semi-arid areas, however, meteorological and hydrological time-series data needed for computation are not frequently measured and must be obtained using other information. This paper presents a case study of data generation for the computation of thermal conditions in the Joumine Reservoir, Tunisia. Data from the Wind Finder web site and daily sunshine duration at the nearest weather stations were utilized to generate cloud cover and solar radiation data based on meteorological correlations obtained in Japan, which is located at the same latitude as Tunisia. A time series of inflow water temperature was estimated from air temperature using a numerical filter expressed as a linear second-order differential equation. A numerical simulation using a vertical 2-D （two-dimensional） turbulent flow model for a stratified water body with generated data successfully reproduced seasonal thermal conditions in the reservoir, which were monitored using a thermistor chain.
