Residential market ratings using fuzzy logic decision-making procedures

References

• Anglin, P. M., & Yanmin, G. (2011). Integrating illiquid assets into the portfolio decision process. Real Estate Economics, 39(2), 277–311.
   Web of Science ®Google Scholar
• Ball, M., & Wood A. (1999). Housing investment: long run international trends and volatility. Housing Studies, 14(2), 185–209.
   Web of Science ®Google Scholar
• Bello, R., & Verdegay, L. (2012). Rough sets in the soft computing environment. Information Sciences, 212, 1–14.
   Web of Science ®Google Scholar
• Beracha, E., & Skiba, H. (2011). Momentum in residential real estate. Journal of Real Estate Finance And Economics, 43(3), 299–320.
   Web of Science ®Google Scholar
• Bernat, M., Janowski, A., Rzepa, S., et al. (2014). Studies on the use of terrestrial laser scanning in the maintenance of buildings belonging to the cultural heritage. Geoconference on informatics, geoinformatics and remote sensing, Vol III, Book Series: International Multidisciplinary Scientific GeoConference-SGEM, pp. 307-318, ISBN 978-619-7105-12-4.
   Google Scholar
• Biłozor, A., & Renigier-Biłozor, M. (2014). The application of geoinformation in the process of determining significance of real estate attributes. 14th GeoConference on Informatics (vol. III pp. 941–948). Geoiformatics and remote sensing. Photogrammetry and remote sensing cartography and Gis. Section Cartography and Gis. Bulgaria. doi:10.5593/sgem2014B23
   Google Scholar
• Case, K. (2000). Real estate and the macroeconomy. Brookings Papers of Economic Activity, 2, 119–145. http://dx.doi.org/10.1353/eca.2000.0011
   Google Scholar
• Chi, D., Yeh, C., & Lai, M. (2011). A hybrid approach of dea. Rough set theory and random forests for credit rating. International Journal of Innovative Computing Information and Control, 7(8), 4885–4897.
   Web of Science ®Google Scholar
• Chung, W., & Tseng, T. (2012). Discovering business intelligence from online product reviews: A rule-induction framework. Expert Systems with Applications, 39(15), 11870–11879.
   Web of Science ®Google Scholar
• d’Amato, M. (2002). Appraising properties with rough set theory. Journal of Property Investment and Finance, 20(4), 406–418.
   Google Scholar
• d’Amato, M. (2007). Comparing rough set theory with multiple regression analysis as automated valuation methodologies. International Real Estate Review, 10(2), 42–65.
   Google Scholar
• d’Amato, M. (2008). Rough Set Theory as Property Valuation Methodology: The Whole Story in Maurizio d'Amato and Tom Kauko. Mass Appraisal Methods. An International Perspective for Property Valuers, RICS Real Estate Issue, Wiley Blackwell Publishers pp. 220–258.
   Google Scholar
• d’Amato, M. (2015). Income approach and property market cycle. International Journal of Strategic Property Management, 29(3), 207–219.
   Web of Science ®Google Scholar
• D’Arcy, A., & Keogh, G. (1999). The property market and urban competitiveness: A review. Urban Studies, 36(5–6), 917–928.
   Web of Science ®Google Scholar
• Deng, H., Yeh, C. H., & Willis, R. J. (2000). Inter-company comparison using modified TOPSIS with objective weights. Computer & Operations Research, 27(10).
   Web of Science ®Google Scholar
• Dubin, R.A., & Goodman, A.C. (1982). Valuation of neighborhood characteristics through hedonic prices. Population and Environment, 5, 166–181.
   Web of Science ®Google Scholar
• European Property and Market Rating: A Valuer’s Guide., Tegova, 2003. http://www.tegova.org/data/bin/4912f549ca065_EPMR1.pdf
   Google Scholar
• Frew, J., & Jud, G. (2003). Estimating the value of apartment buildings. Journal of Real Estate Research, 25(1), 77–86.
   Google Scholar
• Hand, D., Mannila, H., & Smyth, P. (2005). Eksploracja danych [Data Mining], WNT, Warszawa.
   Google Scholar
• Guoyin Wang & Lihe Guan. (2012). Data-driven valued tolerance relation, 7th International Conference in China: Rough sets and knowledge technology. Li et al. (Eds.): RSKT 2012. LNAI 7414. pp. 11–19. doi:10.1007/978-3-642-31900-6.
   Google Scholar
• Goodman, A. C., &Thibodeau, T. G. (2003). Housing market segmentation and hedonic prediction accuracy. Journal of Housing Economics, 12(3), 181–201.
   Web of Science ®Google Scholar
• Ignasiak E. (2001), Badania operacyjne. (eng. Operational research). PWE, Warszawa.
   Google Scholar
• Irwin R. (Ed). (1993). The McGraw-Hill real estate handbook. Inc. New York, NY: McGraw-Hill.
   Google Scholar
• Jaffe, A., & Sirmans, C. (1989). Fundamentals of real estate investment. Upper Saddle River, NJ: Prentice Hall Inc.
   Google Scholar
• Janowski A., Jurkowska A., Przyborski M., et al. (2014) Improving the quality of education through the implementation of the diplomas and group projects during engineering studies in cooperation with employers. Book series: Edulearn Proceedings, pp. 1837–1843, ISBN 978-84-617-0557-3
   Google Scholar
• Kaklauskas A., Kelpsiene L., Zavadskas E.K., Bardauskiene D., Kaklauskas G., Urbonas M., & Sorakas V. (2011). Crisis management in construction and real estate: Conceptual modeling at the micro-. meso- and macro-levels. Land Use Policy, 28, 280–293.
   Web of Science ®Google Scholar
• Kaklauskas, A., Daniunas, A., Binkyte, A., Kliukas, R., Kazokaitis, P., Kaklauskas, G., … Budryte, L. (2015). Crisis Thermometer for housing market recommendations. Land Use Policy 48, 25–37.
   Web of Science ®Google Scholar
• Kalberer, W. (2012). The future of risk analysis in valuation: property and market rating. TEGOVA EVS Conference. Krakow.
   Google Scholar
• Kulesza, S., & Bełej, M. (2015). Local real estate markets in Poland as a network of damped harmonic oscillators. Acta Physica Polonica A, 127( 3-A), 99–102 doi:10.12693/APhysPolA.127.A-99
   Google Scholar
• Leung, C. (2004). Macroeconomics and housing: a review of the literature. Journal of Housing Economics, 13, 249–267.
   Web of Science ®Google Scholar
• McCue, D., & Belskym E. S. (2007). Why do house prices fall? Perspective on the historical drivers of large nominal house price declines. Joint Center for Housing Studies. Cambridge, MA: Harvard University.
   Google Scholar
• Pawlakm, Z. (1982). Rough sets. International Journal of Information and Computer Science, 11.
   Google Scholar
• Pawlakm, Z. (1997). Rough sets and their applications. Seminar Department of Computing – Macquarie University.
   Google Scholar
• Polkowskim, L. (2010). Reductive reasoning rough and fuzzy sets as frameworks for reductive reasoning. Approximate reasoning by parts: an introduction to rough mereology (Vol. 20, pp, 145–190). NSW, Australia: Book Series: Intelligent Systems Reference Library.
   Google Scholar
• Razzak, M. A. (2015). Location Profiling in Cadastre for Property Value Intelligence. "The World Cadastre Summit. Congress & Exhibition (WCS-CE)" Turkey http://wcadastre.org/files/ fulltexts/fulltext18.pdf
   Google Scholar
• Renigier-Biłozor, M. (2011). Analysis of real estate markets with the use of the rough set theory. Journal of the Polish Real Estate Scientific Society. 19(3).
   Google Scholar
• Renigier-Biłozor, M., Wiśniewski, R., Biłozor, A., & Kaklauskas, A. (2014). Rating methodology for real estate markets – Poland case study. International Journal of Strategic Property Management, 18(2), 198–212 doi:10.3846/1648715X.2014.92740175/23/24/3
   Web of Science ®Google Scholar
• Research on Property and Market Rating in China based on Basel II. (2008). Weidong QU. P.R. China. Integrating Generation FIG Works Week 2008. Stockholm.
   Google Scholar
• Saaty, T. L. (2008). Decision making with the analytic hierarchy proces. Journal of Services Sciences, 1(1).
   Google Scholar
• Słowiński, R. (1992). Intelligent decision support. Handbook of applications and advances of the rough sets theory. Dordrecht: Kluwer Academic Publishers.
   Google Scholar
• Shannon, C., & Weaver, W. (1963).The Mathematical Theory of Communication. Chicago, IL: University of Illinois Press.
   Google Scholar
• Stefanowski, J., & Tsoukias, A. (2000). Valued tolerance and decision rules. In: Ziarko W. & Yao Y (Eds). Proceedings of the RSCTC Conference. Banff.
   Google Scholar
• Worzala E., Lenk , M., & Silva , A. (1995). An Exploration of Neural Networks and its Application to Real Estate Valuation, The Journal of Real Estate Research, 10(2), 185–201
   Google Scholar
• Zhang, Z. (2012). A rough set approach to intuitionistic fuzzy soft set based decision making. Applied Mathematical Modelling, 36(10), 4605–4633.
   Web of Science ®Google Scholar
• Zavadskas, E., & Turskis, Z. (2011). Multiple criteria decision making (MCDM) methods in economics: An overview. Technological and Economic Development of Economy, 17(2), 397–427.
   Web of Science ®Google Scholar
• Źróbek, S., & Grzesik, C. (2013). Modern challenges facing the valuation profession and allied university education in Poland. Real Estate Management and Valuation. 21(1), 14–18.
   Google Scholar