[Adamowicz, M. & Janulewicz, P. (2012). Wykorzystanie metod wielowymiarowych w określeniu pozycji konkurencyjnej gminy na przykładzie województwa lubelskiego [The use of multi dimensional methods in defining the competitive position f the community on the example Lubelskie voivodeship]. Metody ilościowe w badaniach ekonomicznych, 13(1), 17 – 28.]Search in Google Scholar
[Ahn, J. J., Byun, H. W., Oh, K. J., & Kim, T. Y. (2012). Using ridge regression with genetic algorithm to enhance real estate appraisal forecasting. Expert Systems with Applications, 39(9), 8369–8379. https://doi.org/10.1016/j.eswa.2012.01.18310.1016/j.eswa.2012.01.183]Search in Google Scholar
[Andrejkova, G., Marčišinová, K. & Kudela, K. (2019). Genetic algorithms in the prediction of geomagnetic storms.]Search in Google Scholar
[Awange, J., Palancz, B., Lewis, R., & Volgyesi, L. (2018). Genetic algorithms. Mathematical Geosciences. Springer. https://doi.org/10.1007/978-3-319-67371-410.1007/978-3-319-67371-4]Search in Google Scholar
[Bąk, A. (2016). Porządkowanie liniowe obiektów metodą hellwiga i topsis – analiza porównawcza [Linear ordering of objects using hellwig and topsis methods a comparative analysis]. Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu, 426, 22 – 31. https://doi.org/10.15611/pn.2016.426.0210.15611/pn.2016.426.02]Search in Google Scholar
[Bertalanffy, L. (1984). Ogólna teoria systemów [General syste theory]. PWN.]Search in Google Scholar
[Brzezicka, J. (2016). Znaczenie heurystyki zakotwiczenia i dostosowania w procesie wartościotwórczym na rynku nieruchomości [Significance of anchoring and adjustent heuristic in the proces of value creaton on the real estate market]. Acta Scientiarum Polonorum. Administratio Locorum, 15(1), 31–44. https://doi.org/10.31648/aspal.48010.31648/aspal.480]Search in Google Scholar
[Brzezicka, J., Łaszek, J., Olszewski, K., & Waszczuk, J. (2019). Analysis of the filtering process and the ripple effect on the primary and secondary housing market in Warsaw, Poland. Land Use Policy, 88, 104098. Advance online publication. https://doi.org/10.1016/j.landusepol.2019.10409810.1016/j.landusepol.2019.104098]Search in Google Scholar
[Burnside, C., Eichenbaum, M., & Rebelo, S. (2016). Understanding Booms and Busts in Housing Markets. Journal of Political Economy, 124(4), 1088–1147. https://doi.org/10.3386/w1673410.3386/w16734]Search in Google Scholar
[Chodak, G., & Kwaśnicki, W. (2002). Zastosowanie algorytmów genetycznych w prognozowaniu popytu (Application of Genetic Algorithms in Demand). Gospodarka Materiałowa i Logistyka, 4, 2–7.]Search in Google Scholar
[Cierpisz, S., & Kowalik, S. (2000). Zastosowanie algorytmu genetycznego do optymalizacji układu technologicznego produkcji mieszanki węgla [Application of genetic algorithm to optimize the proces of coal blend production]. Mechanizacja i Automatyzacja Górnictwa, 12, 5–11.]Search in Google Scholar
[Czech, P. (2007). Wykorzystanie algorytmów genetycznych do doboru wejść klasyfikatora uszkodzeń zębów kół przekładni opartego na sieci neuronowej PNN oraz krótkoczasowej transformacie Fouriera [The use of genetic algorithms in the task of choosing inputs for PNN neural network classifier of faults of gera – tooth which used inputs from STFT analysis]. Problemy eksploatacji, 3, 51–70.]Search in Google Scholar
[Czechowska, K. (2014). Wybrane uwarunkowania podejmowania decyzji inwestycyjnych na rynku nieruchomości – ujęcie behawioralne [Selected Determinants of Investment Decision on the Real Estate Markets – Behavioral Approach]. Studia i Prace Wydziały Nauk Ekonomicznych i Zarządzania Uniwersytetu Szczecińskiego, 36(1), 13–25.]Search in Google Scholar
[d’Amato, M., Źróbek, S., Renigier-Biłozor, M., Walacik, M., & Mercadante, G. (2019). Valuing the effect of the change of zoning on underdeveloped land using fuzzy real option approach. Land Use Policy, 86, 365–374. https://doi.org/10.1016/j.landusepol.2019.04.04210.1016/j.landusepol.2019.04.042]Search in Google Scholar
[Del Giudice, V., De Paola, P., & Forte, F. (2017). Using Genetic Algorithms for Real Estate Appraisals. Buildings, 7(2), 31. https://doi.org/10.3390/buildings702003110.3390/buildings7020031]Search in Google Scholar
[Del Giudice, V., De Paola, P., Forte, F., & Manganelli, B. (2017). Real Estate Appraisals with Bayesian Approach and Markov Chain Hybrid Monte Carlo Method: An Application to a Central Urban Area of Naples. Sustainability, 9(11), 2138. https://doi.org/10.3390/su911213810.3390/su9112138]Search in Google Scholar
[Dubinskas, P., & Urbšienė, L. (2017). Investment portfolio optimalization by applying a genetic algorithm – based approach. Ekonomika (Nis), 96(2), 66–78. https://doi.org/10.15388/Ekon.2017.2.1099810.15388/Ekon.2017.2.10998]Search in Google Scholar
[European Mortgage Federation and European AVM Alliance. (2016). EMF/EAA joint paper on the use of automated valuation models in Europe.]Search in Google Scholar
[European Valuation Standards. (2017). EVGN11 The Valuer’s Use of Statistical Tools. TEGoVA.]Search in Google Scholar
[Figielska, E. (2006). Algorytmy ewolucyjne i ich zastosowania. Zeszyty Naukowe Warszawskiej Wyższej Szkoły Informatyki, 1, 81–92.]Search in Google Scholar
[Goldberg, D. E. (1989). Genetic algorithms in search optimalization and machine learning. Addison – Wesley Longman Publishing.]Search in Google Scholar
[Gu J., Zhu, M., & Jiang, L. (2011). Housing price forecasting based on genetic algorithm and support vector machine. Expert Systems with Applications, 38(4), 3383–3386. https://doi.org/10.1016/j.eswa.2010.08.12310.1016/j.eswa.2010.08.123]Search in Google Scholar
[Helbich, M., Brunauer, W., Vaz, E., & Nijkamp, P. (2014). Spatial heterogeneity in hedonic house price models: The case of Austria. Urban Studies (Edinburgh, Scotland), 51(2), 390–411. https://doi.org/10.1177/004209801349223410.1177/0042098013492234]Search in Google Scholar
[IAAO. (2018). Standard on Automated Valuation Models, Approved September 2003, Revised July 2018.]Search in Google Scholar
[International Valuation Standards. (2005). International Valuation Standards (7th ed.).]Search in Google Scholar
[Janowski, A., Bobkowska, K., & Szulwic, J. (2018). 3D modelling of cylindrical-shaped objects from lidar data-an assessment based on theoretical modelling and experimental data. Metrology and Measurement Systems, 25(1), 47–56. https://doi.org/10.24425/11815610.24425/118156]Search in Google Scholar
[Juan, Y., Kim, J. H., Roper, K., & Castro-Lacouture, D. (2009). GA-based decision support system for housing condition assessment and refurbishment strategies. Automation in Construction, 18(4), 394–401. https://doi.org/10.1016/j.autcon.2008.10.00610.1016/j.autcon.2008.10.006]Search in Google Scholar
[Kaklauskas, A., Zavadskas, E. K., Bardauskienė, D., &Dargis, R. (2015). Sustainable Development of Real Estate: monograph. Vilnius Technika. https://doi.org/10.3846/2336-M10.3846/2336-M]Search in Google Scholar
[Kauko, T. (2017). Pricing and Sustainability of Urban Real Estate. Routledge.]Search in Google Scholar
[Kauko, T., & d’Amato, M. (2008). Mass Appraisal Mathods, An interpersonal perspective for property valuers. Wiley-Blackwell., https://doi.org/10.1002/978144430102110.1002/9781444301021]Search in Google Scholar
[Kontrimas, V., & Verikas, A. (2011). The mass appraisal of the real estate by computational intelligence. Applied Soft Computing, 11(1), 443–448. https://doi.org/10.1016/j.asoc.2009.12.00310.1016/j.asoc.2009.12.003]Search in Google Scholar
[Kou, G., Lu, Y., Peng, Y., & Shi, Y. (2012). Evaluation of classification algorithms using MCDM and rank correlation. International Journal of Information Technology & Decision Making, 11(01), 197–225. Advance online publication. https://doi.org/10.1142/S021962201250009510.1142/S0219622012500095]Search in Google Scholar
[Kotowski, S. (2008). Analiza algorytmów genetycznych jako układów dynamicznych. PhD thesis, Instytut Podstawowych Problemów Techniki Polskiej Akademii Nauk, Warszawa, Poland.]Search in Google Scholar
[Kumar, S., Jain, S., & Sharma, H. (2018). Genetic Algorithms. In N. Nhu Gia (Ed.), Anand, N., Dac – Nhuong, L (pp. 27–52). Advances in Swarm Intelligence for Optimizing Problems in Computer Science.10.1201/9780429445927-2]Search in Google Scholar
[Lee, I. (2018). Modern Genetic Algorithms. Korea Research Institute of Standards and Science, 8 – 11. https://doi.org/10.3938/PhiT.27.00210.3938/PhiT.27.002]Search in Google Scholar
[Levitt, S. D., & Syverson, Ch. (2008). Market Distortions When Agents Are Better Informed: The Value of Information in Real Estate Transactions. The Review of Economics and Statistics, 90(4), 599–611. https://doi.org/10.1162/rest.90.4.59910.1162/rest.90.4.599]Search in Google Scholar
[Lin, Ch., Lee, I., & Wu, M. (2019). Merits of using chromosome representations and shadow chromosomes in genetic algorithms for solving scheduling problems. Robotics and Computer-integrated Manufacturing, 58, 196–207. https://doi.org/10.1016/j.rcim.2019.01.00510.1016/j.rcim.2019.01.005]Search in Google Scholar
[Ławrynowicz, A. (2011). Genetic algorithms for solving scheduling problems in manufacturing sysmems. The Journal of Warsaw University of Technology, 3(2), 7–26. https://doi.org/10.2478/v10238-012-0039-210.2478/v10238-012-0039-2]Search in Google Scholar
[Matti, M. S., & Khorsheed Al-Sulaifanie, A. (2018). Wavelet Denoising Based on Genetic Algorithm. In 2018 International Conference on Advanced Science and Engineering, Duhok, Iraq (pp. 75 – 80). https://doi.org/10.1109/ICOASE.2018.854881410.1109/ICOASE.2018.8548814]Search in Google Scholar
[Omiotek, Z., & Wójcik, W. (2014). Zastosowanie metody Hellwiga do redukcji wymiaru przestrzeni cech obrazów USG tarczycy [The use of Hellwig’s method for dimension reduction in feature space of thyroid ultrasound images]. Informatyka, Automatyka. Pomiary w Gospodarce i Ochronie Środowiska, 4(3), 14–17. https://doi.org/10.5604/20830157.112133310.5604/20830157.1121333]Search in Google Scholar
[Pereira, R. (2000). Genetic Algorithm Optimization for Finance and Investments. MPRA Paper 8610. University Library of Munich.]Search in Google Scholar
[Rao, R. C. (1994). Statystyka i prawda [Statistics and truth]. Wydawnictwo Naukowe PWN.]Search in Google Scholar
[Renigier-Biłozor, M., & Biłozor, A. (2016). Informatio Capacity Database in the Rating Model on the Basis of Polish and Italian Real Estate Markets. Real Estate Management and Valuation, 24(3), 40–51. https://doi.org/10.1515/remav-2016-002010.1515/remav-2016-0020]Search in Google Scholar
[Renigier-Biłozor, M., Biłozor, A., & d’Amato, M. (2018). Residential market ratings using fuzzy logic decision-making procedures. Economic Research Journal, 31(1), 1758–1787. https://doi.org/10.1080/1331677X.2018.148478510.1080/1331677X.2018.1484785]Search in Google Scholar
[Renigier – Biłozor, M., Biłozor, A. & Wiśniewski, R. (. (2017). Rating engineering of real estate markets as the condition of urban areas assessment. Land Use Policy, 61, 511–525. https://doi.org/10.1016/j.landusepol.2016.11.04010.1016/j.landusepol.2016.11.040]Search in Google Scholar
[Rosienkiewicz, M. (2012). Porównanie metod Akaike i Hellwiga w zakresie efektywności konstrukcji modelu regresyjnego [Efficiency comparison of Akaike and Hellwig methods in constructing regression model]. Wiadomości statystyczne, 10, 27 – 43.10.59139/ws.2012.10.3]Search in Google Scholar
[Rutkowski, L. (2009). Metody i techniki sztucznej inteligencji. Wydawnictwo Naukowe PWN.]Search in Google Scholar
[Stokey, N. L. (2016). Wait-and-See: Investment Options under Policy Uncertainty. Review of Economic Dynamics, 21, 246–265. https://doi.org/10.1016/j.red.2015.06.00110.1016/j.red.2015.06.001]Search in Google Scholar
[Su, D., Xin, L., Lobonţ, O., & Yanping, Z. (2016). Economic Policy Uncertainty and Housing Returns in Germany. Journal of Economics and Business, 34(1), 43–61.]Search in Google Scholar
[TEGoVA The European Group of Valuers Associations. (2016). European Valuation Standards: Automated Valuation Models (AVMs).]Search in Google Scholar
[USPAP Uniform Standards of Professional Appraisal Practice 2016 – 2017. (2016).]Search in Google Scholar
[Van Groenendaal, W. J. H. (2003). Group decision support for public policy planning. Information & Management, 40(5), 371–380. https://doi.org/10.1016/S0378-7206(02)00044-710.1016/S0378-7206(02)00044-7]Search in Google Scholar
[Vandeva, E. (2012). MultiObjective Genetic Modified Algorithme (MOGMA). Cybernetics and Information Technologies, 12(2), 23–33. https://doi.org/10.2478/cait-2012-001010.2478/cait-2012-0010]Search in Google Scholar
[Wang, X., Wen, J., Zhang, Y., & Wang, Y. (2014). Real estate price forecasting based on SVM optimized by PSO. Optik (Stuttgart), 125(3), 1439–1443. https://doi.org/10.1016/j.ijleo.2013.09.01710.1016/j.ijleo.2013.09.017]Search in Google Scholar
[Winiczenko, R. (2008). Algorytmy genetyczne i ich zastosowania [Genetic algoritms and their applications]. Postępy Techniki Przetwórstwa Spożywczego, 1, 107–110.]Search in Google Scholar
[Wojarnik, G. (2015). Metody ewolucyjne w analizie zmian kursu akcji spółek giełdowych [Evolutionary methods for the analysis of the changes in price of compay stock excgange]. Zeszyty Naukowe Uniwersytetu Szczecińskiego. Studia Informatica Pomerania., 36, 39–50. https://doi.org/10.18276/si.2015.36-0310.18276/si.2015.36-03]Search in Google Scholar
[Wu, Q., Wu, P., Zhou, L. G., Chen, H. Y., & Guan, X. J. (2018). Some new Hamacher aggregation operators under single-valued neutrosophic 2-tuple linguistic environment and their applications to multi-attribute group decision making. Computers & Industrial Engineering, 116, 144–162. https://doi.org/10.1016/j.cie.2017.12.02410.1016/j.cie.2017.12.024]Search in Google Scholar
[Zavadskas, E. K., Antuchevciene, J., & Chatterjee, P. (2018). Mulitple – Criteria Decision – Making (MCDM) Techniques for Busisness Processes Information Management. Informations, 10(1), 4. Advance online publication. https://doi.org/10.3390/info1001000410.3390/info10010004]Search in Google Scholar
[Zavadskas, E. K., Antucheviciene, J., Turskis, Z., & Adeli, H. (2016). Hybrid multiple-criteria decision-making methods: A review of applications in engineering. Scientia Iranica, 23(1), 1–20. https://doi.org/10.24200/sci.2016.209310.24200/sci.2016.2093]Search in Google Scholar
[Zavadskas, E., Bausys, R., Kaklauskas, A., Ubarte, I., Kuzminske, A., & Gudiene, N. (2017). Sustainable market valuation of buildings by the single-valued neutrosophic MAMVA method. Applied Soft Computing, 57(C), 74–87. https://doi.org/10.1016/j.asoc.2017.03.04010.1016/j.asoc.2017.03.040]Search in Google Scholar
[Zavadskas, E., Kaklauskas, A., Turskis, Z., & Tamošaitienė, J. (2008). Selection of the effective dwelling house walls by applying attributes values determined at intervals. Journal of Civil Engineering and Management, 14(2), 85–93. https://doi.org/10.3846/1392-3730.2008.14.310.3846/1392-3730.2008.14.3]Search in Google Scholar
[Zavadskas, E., & Turskis, Z. (2011). Daugiatiksliai sprendimų priėmimo metodai ekonomikoje: Apžvalga [Multiple criteria decision making (mcdm) methods in economics: an overview]. Technological and Economic Development of Economy, 17(2), 397–427. https://doi.org/10.3846/20294913.2011.59329110.3846/20294913.2011.593291]Search in Google Scholar
[Ziółkowski, P., & Niedostatkiewicz, M. (2019). Machine Learning Techniques in Concrete Mix Design. Materials (Basel), 12(8), 1256. https://doi.org/10.3390/ma12081256 PMID:3099955710.3390/ma12081256]Search in Google Scholar