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Estimation of Housing Demand with Adaptive Neuro-Fuzzy Inference Systems (ANFIS)

In: The Impact of Globalization on International Finance and Accounting

Author

Listed:
  • Olgun Aydin

    (Mimar Sinan University, Institute of Science)

  • Elvan Aktürk Hayat

    (Adnan Menderes University, Faculty of Economics)

Abstract

It has always been important to anticipate the demand for a product. To determine the demand for any product, the parameters such as the economic situation and the demands of the rival products are used generally. Especially in the housing sector, which is the locomotive sector for emerging countries, it is critical to anticipate housing demand and its relationship with economic variables. Because of that, economists, real estate developers, banks, development and economy ministers, and land registry cadastral directorates of the countries have focused on explaining housing demand with economic variables. Therefore, the existence of effective model for prediction is very crucial for policy makers in the sector. For these reasons, the aim of this study is estimating housing demand based on relationship between housing sales transactions and important financial indicators using adaptive neuro-fuzzy inference system (ANFIS).

Suggested Citation

  • Olgun Aydin & Elvan Aktürk Hayat, 2018. "Estimation of Housing Demand with Adaptive Neuro-Fuzzy Inference Systems (ANFIS)," Springer Proceedings in Business and Economics, in: David Procházka (ed.), The Impact of Globalization on International Finance and Accounting, pages 449-455, Springer.
    • Handle: RePEc:spr:prbchp:978-3-319-68762-9_49
    DOI: 10.1007/978-3-319-68762-9_49
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