caa a22 4500 445359676 CHVBK 20180317142911.0 cr unu---uuuuu 170323e20110901xx s 000 0 eng 10.1007/s10100-010-0188-x doi (NATIONALLICENCE)springer-10.1007/s10100-010-0188-x Regression-fuzzy approach to land valuation [Elektronische Daten] [Marija Bogataj, Danijela Tuljak Suban, Samo Drobne] In this paper, we demonstrate that the fuzzy pricing model can improve regression analysis in applications where non-smoothness appears. Combining the fuzzy and regression approaches it is capable of modelling complex non-linearities. The application of this approach describes an effort to design a regression-fuzzy system to estimate real estate market values, especially for vacant urban plots. The results are compared with those obtained using a traditional multiple regression model only. The changes of parameters in the domain of independent variables of the regression function are determined by the analysis of membership functions defining the terms of the fuzzy model. The paper also describes possible future research. The suggested method is interesting for real estate appraisers, real estate companies, and bureaus because it provides a better overview of location prices. The suggested approach could be also used in various other economic and business analyses. Springer-Verlag, 2011 Fuzzy logics nationallicence Regression analysis nationallicence Land valuation nationallicence Land market nationallicence Bogataj Marija MEDIFAS, University of Ljubljana, Mednarodni prehod 6, Vrtojba, 5290, Šempeter pri Gorici, Slovenia aut Tuljak Suban Danijela Faculty of Maritime Studies and Transport, University of Ljubljana, Pot pomorščakov 4, 6320, Portorož, Slovenia aut Drobne Samo Faculty of Civil and Geodetic Engineering, University of Ljubljana, Jamova cesta 2, 1000, Ljubljana, Slovenia aut Central European Journal of Operations Research Springer-Verlag 19/3(2011-09-01), 253-265 1435-246X 19:3<253 2011 19 10100 https://doi.org/10.1007/s10100-010-0188-x text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10100-010-0188-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Bogataj Marija MEDIFAS, University of Ljubljana, Mednarodni prehod 6, Vrtojba, 5290, Šempeter pri Gorici, Slovenia aut NATIONALLICENCE 700 1- Tuljak Suban Danijela Faculty of Maritime Studies and Transport, University of Ljubljana, Pot pomorščakov 4, 6320, Portorož, Slovenia aut NATIONALLICENCE 700 1- Drobne Samo Faculty of Civil and Geodetic Engineering, University of Ljubljana, Jamova cesta 2, 1000, Ljubljana, Slovenia aut NATIONALLICENCE 773 0- Central European Journal of Operations Research Springer-Verlag 19/3(2011-09-01), 253-265 1435-246X 19:3<253 2011 19 10100 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer