城市日用水量主影响因素粗集理论分析方法  

Principal factor analysis method for daily urban water consumption based on rough set theory

作　　者：柳景青[1] 易远山[1] 张土乔[1] 

机构地区：[1]浙江大学建筑工程学院,杭州310027

出　　处：《哈尔滨工业大学学报》2008年第8期1315-1318,共4页Journal of Harbin Institute of Technology

基　　金：国家自然科学基金资助项目(50078048);浙江省环境工程重中之重学科开放基金资助项目

摘　　要：为克服传统粗糙集变精度算法和动态约简算法在城市日用水量主影响因素分析中的"伪"约简属性存在问题,利用权值累积评价因子的概念,提出新的城市日用水量属性约简求解算法.利用改进的属性约简算法对国内某城市日用水量观测系统的主影响因素进行分析讨论.实例分析表明:新的属性约简算法较大程度上克服了传统约简算法结果中"伪"约简属性的存在,实例城市的日用水量主影响因素为最高温度,相对湿度,阴晴量,星期量.预测验证结果也表明了所提出的主影响因素分析方法具有其合理性.It is difficult to find the true principal factors for daily urban water consumption based on the conventional rough set algorithm because there are usually different results of attribute reduction for time series with different lengths or the same length with different samples in the same information system. To solve this problem, an advanced algorithm based on weighting-coefficient cumulative estimation is put forward, and the weighting coefficient is the result of variable precision rough set algorithm. Principal factors for daily water consumption in Hangzhou were analyzed using the new algorithm. Results show that the proposed algorithm for attribute reduction is helpful for distinguishing the fake attribute from dyanamic reduction sets, and the principal factors affecting daily urban water consumption of Hangzhou city are the maximum air temperature, the relative humidity, the index of weather and the index of weekday.

关 键 词：日用水量 权值累积评价 属性约简算法 

分 类 号：TU991.31[建筑科学—市政工程]