Multi-dimensional Normal Cloud Model Evaluation of Water Eutrophication Based on Comprehensive Weighting Method

被引：0
|
作者：
Wang, Zhaoyang [1 ,2 ]
Wang, Xiaoyi [1 ]
Wang, Li [1 ]
Xu, Jiping [1 ]
Zhang, Huiyan [1 ]
Bai, Yuting [2 ]
机构：
[1] Beijing Technol & Business Univ, Sch Comp & Informat Engn, Beijing 100048, Peoples R China
[2] Beijing Inst Technol, Beijing 100081, Peoples R China
来源：
PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017) | 2017年
基金：
中国国家自然科学基金;
关键词：
Comprehensive weighting method; eutrophication evaluation; cloud model; MULTIPLE CRITERIA;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In the eutrophication evaluation, the uncertainty of evaluation level is the main problem. This process also refers to many factors which have different effect on result. Multi-dimensional normal cloud is a system model which can describe the uncertainty and fuzzy feature. This model involves the factor weight. In our paper, the weight is determined by AMP, CRITIC and information entropy which are firstly combined. The comprehensive weighting method combines the advantages of subjective and objective weighting method to evaluate the water eutrophication of lakes and reservoirs. The experiment acquires more accurate water eutrophication level and solves the problems of randomness and ambiguity in the field of water evaluation. It makes the evaluation result more effective.
引用
收藏
页码：10457 / 10462
页数：6
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