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Performance Evaluation of the Listed Real Estate Companies in China Based on Fuzzy Neural Networks: The Perspective of Stakeholders

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  • Hong Zhang
  • Shuai Gao
  • Yang Zhang
  • Fei Yang

Abstract

In this paper, we utilize a fuzzy neural network to evaluate the performance of listed real estate companies in China. We analyze the special interests of the stakeholders and construct a performance evaluation indicator system for these companies. We evaluate a sample of listed real estate companies using the fuzzy neural network method to determine their performance. The results show that the scores of the sample companies range within a certain scale (50, 90), and the performance of the different companies varies greatly. The results also show that the trained neural network model can well identify the performance of the listed real estate companies.

Suggested Citation

  • Hong Zhang & Shuai Gao & Yang Zhang & Fei Yang, 2015. "Performance Evaluation of the Listed Real Estate Companies in China Based on Fuzzy Neural Networks: The Perspective of Stakeholders," Journal of Real Estate Practice and Education, Taylor & Francis Journals, vol. 18(2), pages 195-215, January.
    • Handle: RePEc:taf:rjrpxx:v:18:y:2015:i:2:p:195-215
    DOI: 10.1080/10835547.2015.12091752
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