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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA)
Ferreira, F., Spahr, R. & Sunderman, M. (2015). Combining Cognitive Maps and MCDA Techniques to Assist in Estimating Residential Housing Values. 2015 BAI International Conference.
Exportar Referência (IEEE)
F. A. Ferreira et al.,  "Combining Cognitive Maps and MCDA Techniques to Assist in Estimating Residential Housing Values", in 2015 BAI Int. Conf., Macau, 2015
Exportar BibTeX
@misc{ferreira2015_1731867423609,
	author = "Ferreira, F. and Spahr, R. and Sunderman, M.",
	title = "Combining Cognitive Maps and MCDA Techniques to Assist in Estimating Residential Housing Values",
	year = "2015",
	howpublished = "Ambos (impresso e digital)",
	url = "http://ibac-conference.org/BAI2015/"
}
Exportar RIS
TY  - CPAPER
TI  - Combining Cognitive Maps and MCDA Techniques to Assist in Estimating Residential Housing Values
T2  - 2015 BAI International Conference
AU  - Ferreira, F.
AU  - Spahr, R.
AU  - Sunderman, M.
PY  - 2015
CY  - Macau
UR  - http://ibac-conference.org/BAI2015/
AB  - Much has been written about the appraisal process and the process that is, or should be,
employed in the establishment of initial offering prices on residential real estate. However,
imputation of initial offer prices as estimates of actual market prices for residential real estate is
a complex undertaking. Residential real estate fundamental values deviate due to a variety of
factors that must be considered in the evaluation process. We conduct a panel study using a
multiple criteria decision analysis (MCDA) framework that utilizes the skills and knowledge of
a panel of residential real estate experts (i.e. appraisers and realtors). We demonstrate how the
integrated use of cognitive maps and measuring attractiveness by a categorical based
evaluation technique (MACBETH) may assist in estimating appropriate offer/sale prices and
strengthening current valuation approaches such as using comparables and/or hedonic
modeling. The strengths and weaknesses of our multiple criteria framework are also discussed.
ER  -