Mass appraisal with genetic fuzzy rule‐based systems

Массовая оценка недвижимости с использованием генетических нечетких систем на основе правил
Marco Aurélio Stumpf González, Carlos Torres Formoso
2006-01-01

fuzzy rule-based systems (FRBS)genetic fuzzy rule-based systemshedonic regressionmass appraisalreal estate valuation
Purpose The traditional models of real estate market have several sources of imprecision, such as transitions between submarkets, generating difficulties in property valuation. The purpose of this paper is to examine an alternative to improve mass appraisal models, using fuzzy rules. Design/methodology/approach Fuzzy rule‐based systems (FRBS) are able to generate flexible systems and may be useful in considering vagueness or imprecision presents in real estate market. An application to the housing market of Porto Alegre (Brazil), with more than 30,000 apartments, transacted in 1998‐2001, illustrates the fuzzy system, comparing with traditional hedonic regression model. Findings The results have indicated the potential of fuzzy rules to use in mass appraisal. Originality/value This paper presents a procedure to develop mass appraisal models using FRBS.
1
Fuzzy rule-based systems are presented as an alternative mass-appraisal approach for handling imprecision and transitions between real-estate submarkets.
2
The fuzzy approach was compared with a traditional hedonic regression model and demonstrated potential for mass property appraisal.
3
The paper contributes a procedure for developing mass-appraisal models based on fuzzy rule-based systems.
4
The proposed fuzzy-system procedure was illustrated using more than 30,000 apartment transactions in Porto Alegre, Brazil, from 1998–2001.

Mass appraisal models for the Porto Alegre housing market, based on transactions of more than 30,000 apartments from 1998–2001

The effectiveness and potential of genetic fuzzy rule-based systems for handling imprecision and improving real-estate valuation compared with traditional hedonic regression

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2006-01-01
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Authors
Marco Aurélio Stumpf González
Carlos Torres Formoso
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