Application of fuzzy matter-element model based on entropy weight coefficient method in evaluation of comprehensive governance modes on sloping farmland

It is necessary to take into account synthetically attribute of every index because of independence and incompatibility resulted from single index evaluating outcomes. Through the information entropy theory and attribute recognition model being combined together, attribute recognition model based on entropy weight is constructed and applied to evaluating groundwater quality by a new method, weight coefficient by the law of entropy value is exercised so that it is more objective. The outcome from concrete application indicates that it is suitable to evaluate water quality with reasonable conclusion and simple calculation.

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The Application of Entropy Weight of Attribute Recognition Model in Reservoir Eutrophication Evaluation

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.477-478.870 ◽

2013 ◽

Vol 477-478 ◽

pp. 870-873

Author(s):

Du Wu ◽

De Shan Tang ◽

Xing Wang Lu ◽

Wen Zhong Yu

Keyword(s):

Weight Distribution ◽

Guangdong Province ◽

Element Model ◽

Recognition Method ◽

Entropy Weight ◽

Recognition Model ◽

Calculation Results ◽

Attribute Recognition ◽

Matter Element Model

Subjective factors could affect the weight distribution of each index in evaluation of reservoir eutrophication, so the example used entropy to deal with the weight distribution of each index. Combined attributes recognition method, the writer selected six indicators to build the entropy weight of attribute recognition model about reservoir eutrophication of ten large reservoirs in Guangdong Province. By comparing the calculated results with the results of matter-element model, the calculation results were basically consistent. So entropy weight of attribute recognition model is applicable to the evaluation of the reservoir eutrophication and it can ensure the fairness and reasonableness of weight distribution.

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Application of Fuzzy Matter Element Model Based on Coefficients of Entropy in Scheme Optimization

2010 International Conference on E-Product E-Service and E-Entertainment ◽

10.1109/iceee.2010.5660463 ◽

2010 ◽

Author(s):

Hong Li ◽

Bo Zhou

Keyword(s):

Element Model ◽

Scheme Optimization ◽

Model Based ◽

Matter Element Model

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Assessment of River Water Quality Based on an Improved Fuzzy Matter-Element Model

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph16152793 ◽

2019 ◽

Vol 16 (15) ◽

pp. 2793 ◽

Cited By ~ 1

Author(s):

Yumin Wang ◽

Weijian Ran ◽

Lei Wu ◽

Yifeng Wu

Keyword(s):

Water Quality ◽

River Water ◽

Objective Assessment ◽

Integrated Approach ◽

Element Model ◽

River Water Quality ◽

Matter Element Model ◽

Pair Analysis ◽

Coefficient Method

In this paper, an improved fuzzy matter-element (IFME) method was proposed, which integrates the classical matter-element (ME) method, set pair analysis (SPA), and variable coefficient method (VCM). The method was applied to evaluate water quality of five monitor stations along Caoqiao River in Yixing city, Jiangsu Province, China. The levels of river water quality were determined according to fuzzy closeness degree. Compared with the traditional evaluation methods, the IFME method has several characteristics as follows: (i) weights were determined by the VCM method, which can reduce workload and overcome the adverse effects of abnormal values, (ii) membership degrees were defined by SPA, which can utilize monitored data more scientifically and comprehensively, and (iii) IFME is more suitable for seriously polluted rivers. Overall, these findings reinforce the notion that an integrated approach is essential for attaining scientific and objective assessment of river water quality.

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