2014•Advanced materials researchRequires access

Application of Nonlinear Fuzzy Comprehensive Evaluation Method in Real Estate Investment Risk Analysis

Ma Liang

Open publisher page 1 citations

Abstract

Based on domestic studies and the fuzzy mathematics theory, a fuzzy comprehensive evaluation model of real estate investment risk was established, analytic hierarchy process and entropy method were combined to determine the index weight, nonlinear fuzzy matrix synthesis operation method which took into account the nonlinear characteristics of indexes and the prominent effect to evaluation result was introduced to construct a real estate investment risk analysis model on the basis of nonlinear fuzzy comprehensive evaluation method. Finally, the method was employed for empirical analysis and made the quantitative comparison with traditional method, which indicates that the method proposed here was more reasonable.

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What this paper is about

Based on domestic studies and the fuzzy mathematics theory, a fuzzy comprehensive evaluation model of real estate investment risk was established, analytic hierarchy process and entropy method were combined to determine the index weight, nonlinear fuzzy matrix synthesis operation method which took into account the nonlinear characteristics of indexes and the prominent effect to evaluation result was introduced to construct a real estate investment risk analysis model on the basis of nonlinear fuzzy comprehensive evaluation method. Finally, the method was employed for empirical analysis and made the quantitative comparison with traditional method, which indicates that the method proposed here was more reasonable.

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Available abstract

Based on domestic studies and the fuzzy mathematics theory, a fuzzy comprehensive evaluation model of real estate investment risk was established, analytic hierarchy process and entropy method were combined to determine the index weight, nonlinear fuzzy matrix synthesis operation method which took into account the nonlinear characteristics of indexes and the prominent effect to evaluation result was introduced to construct a real estate investment risk analysis model on the basis of nonlinear fuzzy comprehensive evaluation method. Finally, the method was employed for empirical analysis and made the quantitative comparison with traditional method, which indicates that the method proposed here was more reasonable.

Key concepts: Real estate, Fuzzy logic, Nonlinear system, Analytic hierarchy process, Entropy (arrow of time), Construct (python library), Investment (military), Mathematics

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