2013Advanced materials researchOpen access

Improved Fuzzy Equilibrium Average Type Comprehensive Evaluation Method in the Application of Water Quality Evaluation

Jun Pan, Bo Yao Li, Ming Cen Jiang

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Abstract

In order to improve the traditional fuzzy comprehensive evaluation model of main factors, the paper used the shortage of the outstanding balance average type instead of traditional fuzzy comprehensive evaluation method in the evaluation process and takes big or small algorithm, this method to avoid maximum membership principle may cause information loss, more objective quantitative determination of water quality class. This paper Liaozhong waterfront city underground water quality testing data as the basis, an improved fuzzy comprehensive evaluation method to evaluate, the result is due to the area of iron and manganese from groundwater seriously overweight cause groundwater quality grade V. Show that the method of water quality evaluation, the result more objective and accurate.

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What this paper is about

In order to improve the traditional fuzzy comprehensive evaluation model of main factors, the paper used the shortage of the outstanding balance average type instead of traditional fuzzy comprehensive evaluation method in the evaluation process and takes big or small algorithm, this method to avoid maximum membership principle may cause information loss, more objective quantitative determination of water quality class. This paper Liaozhong waterfront city underground water quality testing data as the basis, an improved fuzzy comprehensive evaluation method to evaluate, the result is due to the area of iron and manganese from groundwater seriously overweight cause groundwater quality grade V. Show that the method of water quality evaluation, the result more objective and accurate.

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OpenAlex reports 6 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

In order to improve the traditional fuzzy comprehensive evaluation model of main factors, the paper used the shortage of the outstanding balance average type instead of traditional fuzzy comprehensive evaluation method in the evaluation process and takes big or small algorithm, this method to avoid maximum membership principle may cause information loss, more objective quantitative determination of water quality class. This paper Liaozhong waterfront city underground water quality testing data as the basis, an improved fuzzy comprehensive evaluation method to evaluate, the result is due to the area of iron and manganese from groundwater seriously overweight cause groundwater quality grade V. Show that the method of water quality evaluation, the result more objective and accurate.

Key concepts: Fuzzy logic, Evaluation methods, Economic shortage, Quality (philosophy), Groundwater, Water quality, Computer science, Data mining

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