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

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

Land Use Policy, 2019, vol. 87, issue C

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.

Keywords: Decision-making algorithm; Automated Valuation Model; Real estate valuation; Rough set theory; Fuzzy logic; Insufficient source data (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0264837719302182
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:lauspo:v:87:y:2019:i:c:s0264837719302182

DOI: 10.1016/j.landusepol.2019.104021

Access Statistics for this article

Land Use Policy is currently edited by Jaap Zevenbergen

More articles in Land Use Policy from Elsevier
Bibliographic data for series maintained by Joice Jiang ().