2007Ha'erbin gongye daxue xuebaoRequires access

Application of improved TOPSIS method based on coefficient of entropy to comprehensive evaluating water quality

Huiqing Liu

Open publisher page 11 citations

Abstract

According to the deficiency of TOPSIS method in the comprehensive evaluating,this paper replaced Euclid distance with vertical distance,introduced information entropy to work out coefficient of evaluating indexes so as to avoid the subjectivity of calculating coefficient of weight,and built up improved TOPSIS model based on coefficient of entropy to evaluating water quality.The model was used to evaluate water quality in Handan city.Results show that the method is simple,and is feasible to evaluate water quality.

About this research paper

What this paper is about

According to the deficiency of TOPSIS method in the comprehensive evaluating,this paper replaced Euclid distance with vertical distance,introduced information entropy to work out coefficient of evaluating indexes so as to avoid the subjectivity of calculating coefficient of weight,and built up improved TOPSIS model based on coefficient of entropy to evaluating water quality.The model was used to evaluate water quality in Handan city.Results show that the method is simple,and is feasible to evaluate water quality.

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OpenAlex reports 11 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

According to the deficiency of TOPSIS method in the comprehensive evaluating,this paper replaced Euclid distance with vertical distance,introduced information entropy to work out coefficient of evaluating indexes so as to avoid the subjectivity of calculating coefficient of weight,and built up improved TOPSIS model based on coefficient of entropy to evaluating water quality.The model was used to evaluate water quality in Handan city.Results show that the method is simple,and is feasible to evaluate water quality.

Key concepts: TOPSIS, Entropy (arrow of time), Computer science, Mathematics, Data mining, Statistics, Operations research, Thermodynamics

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