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2006•Industrial Engineering and ManagementRequires access

Grey Correlation Based on Combinational Weight and Its Application

Jinsong Hu

Open publisher page 13 citations

Abstract

Introducing the Grey system theory,this paper presents a new Grey correlation technique for order preference by similarity to ideal solution(GC-TOPSIS) and so as to develop the traditional TOPSIS.First,we decide the weight of every decision-making index by using AHP and entropy method. Second,according to Grey correlation analysis method,we establish GC-TOPSIS by using Grey correlation degree as decision-making unit.Finally,through a supplier selection problem we prove its validity and feasibility.

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What this paper is about

Introducing the Grey system theory,this paper presents a new Grey correlation technique for order preference by similarity to ideal solution(GC-TOPSIS) and so as to develop the traditional TOPSIS.First,we decide the weight of every decision-making index by using AHP and entropy method. Second,according to Grey correlation analysis method,we establish GC-TOPSIS by using Grey correlation degree as decision-making unit.Finally,through a supplier selection problem we prove its validity and feasibility.

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OpenAlex reports 13 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Introducing the Grey system theory,this paper presents a new Grey correlation technique for order preference by similarity to ideal solution(GC-TOPSIS) and so as to develop the traditional TOPSIS.First,we decide the weight of every decision-making index by using AHP and entropy method. Second,according to Grey correlation analysis method,we establish GC-TOPSIS by using Grey correlation degree as decision-making unit.Finally,through a supplier selection problem we prove its validity and feasibility.

Key concepts: TOPSIS, Ideal solution, Analytic hierarchy process, Entropy (arrow of time), Correlation, Mathematics, Selection (genetic algorithm), Statistics

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