Multi-dimensional normal cloud model evaluation of water eutrophication based on comprehensive weighting method
Zhaoyang Wang, Xiaoyi Wang, Wang Li, Jiping Xu, Huiyan Zhang, Yuting Bai · 2017
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 AHP, 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.