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2011•Shuxue de shijian yu renshiRequires access

Topsis Method Based on Grey Theory for IS/IT Project Selection

Gao Peng

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Abstract

IS/IT project selection is a multi-attribute decision-making(MADM) problem. Aimed to the shortcomings of traditional TOPSIS method for order preference by similarity to solution in calculating the weights and the lack of information during decision making,an improved TOPSIS based on grey theory was applied to the IS/IT project selection process. The weights and ratings were given by interval grey numbers.Then,a relative closeness was defined to determine the ranking order of all alternatives(IS/IT projects) by calculating the grey relational grade(GRG) of each alternative to the ideal and negative ideal solution simultaneously. Finally,a real case demonstrates the feasibility and effectiveness of the proposed method.

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What this paper is about

IS/IT project selection is a multi-attribute decision-making(MADM) problem. Aimed to the shortcomings of traditional TOPSIS method for order preference by similarity to solution in calculating the weights and the lack of information during decision making,an improved TOPSIS based on grey theory was applied to the IS/IT project selection process. The weights and ratings were given by interval grey numbers.Then,a relative closeness was defined to determine the ranking order of all alternatives(IS/IT projects) by calculating the grey relational grade(GRG) of each alternative to the ideal and negative ideal solution simultaneously. Finally,a real case demonstrates the feasibility and effectiveness of the proposed method.

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Available abstract

IS/IT project selection is a multi-attribute decision-making(MADM) problem. Aimed to the shortcomings of traditional TOPSIS method for order preference by similarity to solution in calculating the weights and the lack of information during decision making,an improved TOPSIS based on grey theory was applied to the IS/IT project selection process. The weights and ratings were given by interval grey numbers.Then,a relative closeness was defined to determine the ranking order of all alternatives(IS/IT projects) by calculating the grey relational grade(GRG) of each alternative to the ideal and negative ideal solution simultaneously. Finally,a real case demonstrates the feasibility and effectiveness of the proposed method.

Key concepts: TOPSIS, Ideal solution, Closeness, Ranking (information retrieval), Selection (genetic algorithm), Grey relational analysis, Similarity (geometry), Computer science

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