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粗集-模糊推理技术在水文中长期预报中的应用研究
引用本文:朱永英,周惠成,彭慧.粗集-模糊推理技术在水文中长期预报中的应用研究[J].水力发电学报,2009,28(1).
作者姓名:朱永英  周惠成  彭慧
作者单位:大连理工大学土木水利学院水资源与防洪研究所;大连水产学院土木工程学院;
基金项目:国家自然科学基金委员会;二滩水电开发有限责任公司雅砻江水电联合研究基金 
摘    要:针对多因素中长期预报中预报因子的选择问题,本文结合预报因子与预报对象的相关性分析,利用粗集理论的属性重要性概念对预报因子进行优化和选择,对历史数据进行分析约简确定模糊推理的最小决策规则集,建立模糊推理中长期预报模型,并应用于大伙房水库的年径流预报中.结果表明,采用粗集理论对预报因子进行筛选,对推理预报规则进行简化,可提高模糊推理预报精度.粗集理论与模糊推理技术相结合是多因素中长期水文预报的一个有益的尝试.

关 键 词:水文学  中长期预报  属性重要性  粗集  模糊推理

Rough fuzzy inference model and its application for mid-long term hydrological forecast
ZHU Yongying,ZHOU Huicheng,PENG Hui.Rough fuzzy inference model and its application for mid-long term hydrological forecast[J].Journal of Hydroelectric Engineering,2009,28(1).
Authors:ZHU Yongying  ZHOU Huicheng  PENG Hui
Affiliation:School of Civil and Hydraulic Engineering;Dalian University of Technology;Dalian 116024
Abstract:This paper targets efforts to integrate the rough set theory and the fuzzy inference technique for the multi-factor mid-long term hydrological forecast.Rough set theory is used to preprocess the initial data and deals with the redundant inconsistent initial information.Accordingly,the factors are selected as the attribute significance concept,the minimal solution of fuzzy inference forecast rule set is achieved according to the principle of maximal attribute significance.The model is applied to forecast the...
Keywords:hydrology  mid-long term forecast  attribute significance  rough set  fuzzy inference  
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