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基于混合属性的多级模糊模式识别在水质评价中的应用

Application of multipolar fuzzy pattern recognition based on mixed attribute to water quality evaluation

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【作者】 谢志强张豪杨静

【Author】 XIE Zhi-qiang1,ZHANG Hao1,YANG Jing2 (1.Institute of Computer Science and Technology,Harbin University of Science and Technology,Harbin,Heilongjiang 150080,China;2.Institute of Computer Science and Technology,Harbin Engineering University,Harbin,Heilongjiang 150001,China)

【机构】 哈尔滨理工大学计算机科学与技术学院哈尔滨工程大学计算机科学与技术学院 黑龙江哈尔滨150080黑龙江哈尔滨150080黑龙江哈尔滨150001

【摘要】 针对当前多级模糊模式识别方法依赖检测时间,对水质进行评价结果不够全面的问题,提出一种基于混合属性的多级模糊模式识别的方法对水质进行较全面评价。该方法综合确定水质各项指标的权重,并结合影响水质的环境因素,实现了可不完全依赖检测时间的具有预测功能的水质评价,为科学、合理治理水污染提供更准确依据。实例验证表明,该方法水质评价结果合理。

【Abstract】 Pointed to the problems of current multipolar fuzzy pattern recognition method depended on testing time and the evaluating result for the water qulity not complete,this paper introduces a multipolar fuzzy pattern recognition method based on mixed attribute to completely evaluate the water quality.Comprehensively determining the weight of each index and combined with the environment factors affecting the water quality,this method has realized the predictive function on water quality evaluation,which did not depend on testing time totally,and can provide a more accurate basis for scientifically and reasonably decontaminating the water pollution.The examples have shown that the result of evaluating water quality by this method was reasonable.

【基金】 国家自然科学基金(60673131);黑龙江省自然科学基金(F200608,F0304);黑龙江省教育厅海外学人重点科研资助项目(NO.1152hq08)
  • 【文献出处】 水资源与水工程学报 ,Journal of Water Resources and Water Engineering , 编辑部邮箱 ,2008年02期
  • 【分类号】X824
  • 【被引频次】8
  • 【下载频次】171
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