基于最大熵原理的水环境模糊优化评价模型 |
| |
引用本文: | 王栋,朱元生. 基于最大熵原理的水环境模糊优化评价模型[J]. 河海大学学报(自然科学版), 2002, 30(6): 56-60 |
| |
作者姓名: | 王栋 朱元生 |
| |
作者单位: | 1. 南京大学城市与资源学系,江苏,南京,210093 2. 河海大学水资源环境学院,江苏,南京,210098 |
| |
摘 要: | 基于最大熵原理,应用工程模糊集理论中的相对隶属度等概念,综合考虑水环境评价的随机性和模糊性,定义了不同的加权广义权距离来表征待评价水样与水质标准的差异,建立了两个水环境相对隶属度模糊优化评价模型,我12个有代表性的湖库营养化评价实例表明:所建模型的评价结果基本一致,与调查结果相符,对比单一考虑模糊性的模型,所建两个模型评价结果的描述要细胞一致,且具有较小的Shannon熵,即此次评价的不确定性小。
|
关 键 词: | 最大熵原理 相对隶属度 模糊优化 营养化 水环境评价 |
文章编号: | 1000-1980(2002)06-0056-05 |
修稿时间: | 2001-10-12 |
POME-based fuzzy optimal evaluation model of water environment |
| |
Abstract: | Based on the Principle of Maximum Entropy (POME) and the concept of relative membership degree in the theory of fuzzy set in engineering, and in consideration of the randomness and fuzziness of water resources evaluation, the difference is defined between water quality standard and the qualities of a sample evaluated and represented with different generalized weighted distances, and two fuzzy optimal models are developed for evaluation of the relative membership degree of water environment. The eutrophication evaluation of 12 representative lakes and reservoirs in China shows that the evaluated results by the two models are in good agreement, and consistent with investigations; compared with the results from the model only considering fuzziness, the results evaluated by the present models are sophisticated, and a small Shannon entropy is included, indicating less uncertainty of the evaluated results. |
| |
Keywords: | Principle of Maximum Entropy relative membership degree fuzzy optimization eutrophication water environment evaluation |
本文献已被 CNKI 维普 万方数据 等数据库收录! |
| 点击此处可从《河海大学学报(自然科学版)》浏览原始摘要信息 |
|
点击此处可从《河海大学学报(自然科学版)》下载全文 |