2011Unpublished venueRequires access

Research of fuzzy evaluation of construction enterprise competitiveness based on rough set

Sun Shaonan, Wang Zhuofu

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Abstract

Combining with the characteristics of the construction enterprise, this paper establishes the construction enterprise competitiveness evaluation index system on the basis of the analysis of the current situation of evaluation methods. The rough set is utilized to make reduction of evaluation index and calculate the reduced index weight by through AHP. Then the fuzzy comprehensive evaluation is applied to do the analysis and comparisons of the seven construction enterprises competitiveness in Zhengzhou City. The study shows that this method can evaluate the construction enterprise competitiveness effectively.

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What this paper is about

Combining with the characteristics of the construction enterprise, this paper establishes the construction enterprise competitiveness evaluation index system on the basis of the analysis of the current situation of evaluation methods. The rough set is utilized to make reduction of evaluation index and calculate the reduced index weight by through AHP. Then the fuzzy comprehensive evaluation is applied to do the analysis and comparisons of the seven construction enterprises competitiveness in Zhengzhou City. The study shows that this method can evaluate the construction enterprise competitiveness effectively.

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Available abstract

Combining with the characteristics of the construction enterprise, this paper establishes the construction enterprise competitiveness evaluation index system on the basis of the analysis of the current situation of evaluation methods. The rough set is utilized to make reduction of evaluation index and calculate the reduced index weight by through AHP. Then the fuzzy comprehensive evaluation is applied to do the analysis and comparisons of the seven construction enterprises competitiveness in Zhengzhou City. The study shows that this method can evaluate the construction enterprise competitiveness effectively.

Key concepts: Rough set, Analytic hierarchy process, Index (typography), Computer science, Evaluation methods, Fuzzy set, Fuzzy logic, Set (abstract data type)

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