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2013•Unpublished venueRequires access

Topsis based on grey correlation method and it's application

Fan Chen-yu, Wuyong Qian, Qingsheng Li, Chuanhui Wang

Open publisher page 3 citations

Abstract

In order to solve the problem how to determine the index weights in Topsis, we put forward a method based on the theory of grey correlation to determine the index weigh, combined with Topsis, construct a weighted Topsis model by using grey incidence degree, and make use of the calculation steps of weighted Topsis model, then prove the effectiveness of this method by the example selected from the best productive service enterprise.

About this research paper

What this paper is about

In order to solve the problem how to determine the index weights in Topsis, we put forward a method based on the theory of grey correlation to determine the index weigh, combined with Topsis, construct a weighted Topsis model by using grey incidence degree, and make use of the calculation steps of weighted Topsis model, then prove the effectiveness of this method by the example selected from the best productive service enterprise.

Why it matters

OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

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Method / approach

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Available abstract

In order to solve the problem how to determine the index weights in Topsis, we put forward a method based on the theory of grey correlation to determine the index weigh, combined with Topsis, construct a weighted Topsis model by using grey incidence degree, and make use of the calculation steps of weighted Topsis model, then prove the effectiveness of this method by the example selected from the best productive service enterprise.

Key concepts: TOPSIS, Construct (python library), Computer science, Correlation, Index (typography), Degree (music), Mathematical optimization, Data mining

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