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Automated Valuation Model based on fuzzy and rough set theory for real estate market with insufficient source data

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  • Renigier-Biłozor, Malgorzata
  • Janowski, Artur
  • d’Amato, Maurizio

Abstract

Objective monitoring of the real estate value is a requirement to maintain balance, increase security and minimize the risk of a crisis in the financial and economic sector of every country. The valuation of real estate is usually considered from two points of view, i.e. individual valuation and mass appraisal. It is commonly believed that Automated Valuation Models (AVM) should be devoted to mass appraisal, which requires a large size of databases (wider knowledge) and automated procedures. These models, however, have a wider spectrum of application.

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  • Renigier-Biłozor, Malgorzata & Janowski, Artur & d’Amato, Maurizio, 2019. "Automated Valuation Model based on fuzzy and rough set theory for real estate market with insufficient source data," Land Use Policy, Elsevier, vol. 87(C).
    • Handle: RePEc:eee:lauspo:v:87:y:2019:i:c:s0264837719302182
    DOI: 10.1016/j.landusepol.2019.104021
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    References listed on IDEAS

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    Cited by:

    1. Janowski, Artur & Renigier-Biłozor, Małgorzata & Walacik, Marek & Chmielewska, Aneta, 2021. "Remote measurement of building usable floor area – Algorithms fusion," Land Use Policy, Elsevier, vol. 100(C).
    2. Źróbek Sabina & Kucharska-Stasiak Ewa & Renigier-Biłozor Małgorzata, 2020. "Today's Market Needs Modernized Property Appraisers," Real Estate Management and Valuation, Sciendo, vol. 28(4), pages 93-103, December.
    3. Sabina Zrobek & Oleksandra Kovalyshyn & Małgorzata Renigier‐Biłozor & Stepan Kovalyshyn & Oleg Kovalyshyn, 2020. "Fuzzy logic method of valuation supporting sustainable development of the agricultural land market," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(5), pages 1094-1105, September.
    4. Sisman, S. & Aydinoglu, A.C., 2022. "Improving performance of mass real estate valuation through application of the dataset optimization and Spatially Constrained Multivariate Clustering Analysis," Land Use Policy, Elsevier, vol. 119(C).
    5. Renigier-Biłozor, Małgorzata & Źróbek, Sabina & Walacik, Marek & Borst, Richard & Grover, Richard & d’Amato, Maurizio, 2022. "International acceptance of automated modern tools use must-have for sustainable real estate market development," Land Use Policy, Elsevier, vol. 113(C).
    6. Aneta Chmielewska & Małgorzata Renigier-Biłozor & Artur Janowski, 2022. "Representative Residential Property Model—Soft Computing Solution," IJERPH, MDPI, vol. 19(22), pages 1-24, November.
    7. Małgorzata Renigier-Biłozor & Sabina Źróbek & Marek Walacik, 2022. "Modern Technologies in the Real Estate Market—Opponents vs. Proponents of Their Use: Does New Category of Value Solve the Problem?," Sustainability, MDPI, vol. 14(20), pages 1-18, October.
    8. Doan, Quang Cuong, 2023. "Determining the optimal land valuation model: A case study of Hanoi, Vietnam," Land Use Policy, Elsevier, vol. 127(C).
    9. Michalis Doumpos & Dimitrios Papastamos & Dimitrios Andritsos & Constantin Zopounidis, 2021. "Developing automated valuation models for estimating property values: a comparison of global and locally weighted approaches," Annals of Operations Research, Springer, vol. 306(1), pages 415-433, November.
    10. Yalpir, Sukran & Sisman, Suleyman & Akar, Ali Utku & Unel, Fatma Bunyan, 2021. "Feature selection applications and model validation for mass real estate valuation systems," Land Use Policy, Elsevier, vol. 108(C).
    11. Renigier-Biłozor, Małgorzata & Źróbek, Sabina & Walacik, Marek & Janowski, Artur, 2020. "Hybridization of valuation procedures as a medicine supporting the real estate market and sustainable land use development during the covid-19 pandemic and afterwards," Land Use Policy, Elsevier, vol. 99(C).

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