Mass appraisal methods: An international perspective for property valuers T Kauko, M d'Amato John Wiley & Sons, 2009 | 150 | 2009 |
Automated valuation model based on fuzzy and rough set theory for real estate market with insufficient source data M Renigier-Biłozor, A Janowski, M d’Amato Land use policy 87, 104021, 2019 | 68 | 2019 |
Comparing rough set theory with multiple regression analysis as automated valuation methodologies M d’Amato International Real Estate Review 10 (2), 42-65, 2007 | 54 | 2007 |
Income approach and property market cycle M d'Amato International Journal of Strategic Property Management 19 (3), 207-219, 2015 | 53 | 2015 |
Advances in automated valuation modeling M D’Amato, T Kauko Springer International Publishing AG, doi 10, 978-3, 2017 | 51 | 2017 |
Sustainable property investment & management-key issues & major challenges D Lorenz, M d'Amato, F Des Rosiers, B Elder, F Van Genne, ... RICS EU Public Affairs, 2008 | 51 | 2008 |
Application of fuzzy numbers for property investment and valuation N Siniak, M d'Amato International Journal of Strategic Property Management 7 (3), 129, 2003 | 48 | 2003 |
A location value response surface model for mass appraising: An “iterative” location adjustment factor in Bari, Italy M d'Amato International Journal of Strategic Property Management 14 (3), 231-244, 2010 | 44 | 2010 |
Sustainability and risk premium estimation in property valuation and assessment of worth M d'Amato, T Kauko Building Research & Information 40 (2), 174-185, 2012 | 43 | 2012 |
A comparison between MRA and rough set theory for mass appraisal. A case in Bari M D'amato International Journal of Strategic Property Management 8 (4), 205-217, 2004 | 37 | 2004 |
Appraising property with rough set theory M d’Amato Journal of Property Investment & Finance 20 (4), 406-418, 2002 | 35 | 2002 |
The valuation of hope value for real estate development M Renigier-Biłozor, M d’Amato Real Estate Management and Valuation 25 (2), 91-101, 2017 | 32 | 2017 |
International acceptance of automated modern tools use must-have for sustainable real estate market development M Renigier-Biłozor, S Źróbek, M Walacik, R Borst, R Grover, M d’Amato Land Use Policy 113, 105876, 2022 | 31 | 2022 |
Using fuzzy numbers in mass appraisal: the case of the belarusian property market M d'Amato, N Siniak Mass appraisal methods: an international perspective for property valuers …, 2008 | 31 | 2008 |
Rough set theory as property valuation methodology: The whole story M d'Amato Mass Appraisal Methods: An International Perspective for Property Valuers …, 2008 | 30 | 2008 |
Introduction: Suitability issues in mass appraisal methodology T Kauko, M d'Amato Mass appraisal methods: An international perspective for property valuers, 1-24, 2008 | 29 | 2008 |
Crisis management model and recommended system for construction and real estate A Kaklauskas, EK Zavadskas, P Kazokaitis, J Bivainis, B Galiniene, ... Advanced methods for computational collective intelligence, 333-343, 2013 | 28 | 2013 |
Forced sale discount on property market–How to assess it? M Renigier-Biłozor, M Walacik, S Źróbek, M d’Amato Land use policy 78, 104-115, 2018 | 27 | 2018 |
A real options and fuzzy Delphi-based approach for appraising the effect of an urban infrastructure on surrounding lands N Constantino, M d'Amato, R Pellegrino Fuzzy Economic Review 14 (2), 3, 2009 | 26 | 2009 |
Cyclical capitalization and lag vacancy M d’Amato Journal of European Real Estate Research 10 (2), 211-238, 2017 | 25 | 2017 |