Fuzzy Comprehensive Evaluation of Lake Eutrophication Based Improved Set Pair Analysis

被引：0

作者：

Li, Fanxiu ^{[1
]}

Guo, Xi ^{[1
]}

Yi, Shaojin

机构：

[1] Yangtze Univ, Coll Chem & Environm Engn, Jingzhou 434023, Hubei, Peoples R China

来源：

2015 4TH INTERNATIONAL CONFERENCE ON ENERGY AND ENVIRONMENTAL PROTECTION (ICEEP 2015) | 2015年

关键词：

Set pair analysis; Connection number; Lake eutrophication; Fuzzy comprehensive evaluation;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

In view of the evaluation of lake eutrophication's uncertainty, an improved set pair analysis (ISPA) method utilizing the malleability of the original relation degree to extend the evaluation ranking of lake eutrophication to 5 levels is suggested. The method can be used to combine with fuzzy method for obtaining the comprehensive evaluation result of lake samples as well as their tendency degree to the corresponding ranking based on 5 main factors of lake eutrophication. The application result of the proposed method to an example is compared with the results of SVM method. It shows that the proposed improved set pair analysis is feasible and reliable.

引用

页码：2524 / 2528

页数：5

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