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水质模糊贴近度模型中权值的遗传算法解
IDENTIFICATION OF WEIGHTING PARAMETERS FOR WATER QUALITY FUZZY NEARNESS MODEL BY GENETIC ALGORITHM
【摘要】 按照模糊综合评价中贴近度最小的原则,采用加速遗传算法优化权值。经过实例分析及对模型的验证、比较表明,用该法优化权值并进行水质评价,其结果与实际水质级别具有较高的一致性,评价方法更趋合理。
【Abstract】 According to the principle of minimizing nearness,genetic algorithm(GA) is employed to optimise the weighting parameters for water quality fuzzy model.A case study is carried out and its results are compared with those from other models.The results show that fuzzy nearness method based on GA to optimise the weighting parameters could get better agreement with practical water environmental quality.
【基金】 国家自然科学基金重点资助项目(50139040);内蒙古自然科学基金资助项目(200308020508)
- 【文献出处】 环境工程 ,Environmental Engineering , 编辑部邮箱 ,2006年05期
- 【分类号】X824
- 【被引频次】9
- 【下载频次】98