Fuzzy Cognitive Maps and their Application in the Economic Sciences

Aguilar, J. (2005). A survey about fuzzy cognitive maps papers (Invited Paper). International Journal of Computational Cognition, 3(2), 27-33.Search in Google Scholar

Andreou, A. S., Mateou, N. H., and Zombanakis, G. A. (2003). Evolutionary fuzzy cognitive maps: A hybrid system for crisis management and political decision-making. Conference Proceedings on Computational Intelligence for Modelling Control and Automation, (1), 1-12.Search in Google Scholar

Andreou, A. S., Mateou, N. H., and Zombanakis, G. A. (2005). Soft computing for crisis management and political decision making: The use of genetically evolved fuzzy cognitive maps. Soft Computing Journal, 9(3), 194-210.10.1007/s00500-004-0344-0Search in Google Scholar

Axelrod, R. (1976). Structure of decision: The cognitive maps of political elites. Princeton, New York: Princeton University Press.Search in Google Scholar

Card, D., Kluve, J., and Weber, A. (2010). Active labour market policy evaluations: A metaanalysis. The Economic Journal, (120).10.1111/j.1468-0297.2010.02387.xSearch in Google Scholar

Cole, J. R., and Persichitte, K. A. (2000). Fuzzy cognitive mapping: Applications in education. International Journal of Intelligent Systems, 15, 1-25.10.1002/(SICI)1098-111X(200001)15:1<1::AID-INT1>3.0.CO;2-VSearch in Google Scholar

Furfaro, R., Kargel, J. S., Lunine, J. I., Fink, W., and Bishop, M. P. (2010). Identification of cryovolcanism on Titan using fuzzy cognitive maps. Planetary and Space Science Journal, 58(5), 761-779.10.1016/j.pss.2009.12.003Search in Google Scholar

Godlewska-Majkowska, H. (2014). Mapa kognitywna jako instrument projektowania zintegrowanego produktu turystycznego gmin. ZS WSH Zarządzanie, (1), 41-48.Search in Google Scholar

Hage, P., and Harary, F. (1983). Structural models in anthropology. Cambridge: Cambridge University Press.Search in Google Scholar

Isaac, M. E., Dawoe, E., and Sieciechowicz, K. (2009). Assessing local knowledge use in agroforestry management with cognitive maps. Journal of Environmental Management, (43), 1321-1329.10.1007/s00267-008-9201-8Search in Google Scholar

Jastriebow, A., Gad, S., and Słoń, G. (2010). Rozmyte mapy kognitywne w monitorowaniu decyzyjnym obiektów technicznych. Biuletyn WAT, LIX (4), 209-219.Search in Google Scholar

Kannappan, A., Tamilarasi, A., and Papageorgiou, E. I. (2011). Analyzing the performance of fuzzy cognitive maps with non-linear Hebbian learning algorithm in predicting autistic disorder. Experts Systems with Applications, 38(3), 1282-1292.10.1016/j.eswa.2010.06.069Search in Google Scholar

Kokkinos, K., Lakioti, E., Papageorgiu, E., Moustakas, K., and Karayannis, V. (2018). Fuzzy cognitive map-based modeling of social acceptance to overcome uncertainties in establishing waste biorefinery facilities. Frontiers in Energy Research, 6, 1-17.10.3389/fenrg.2018.00112Search in Google Scholar

Kosko, B. (1986). Fuzzy cognitive maps. International Journal of Man-Machine Studies, 24(1), 65-75.10.1016/S0020-7373(86)80040-2Search in Google Scholar

Lee, S., and Han, I. (2000). Fuzzy cognitive map for the design of EDI controls. Information & Management, 37(1), 37-50.10.1016/S0378-7206(99)00033-6Search in Google Scholar

MacDonald, N. (1983). Trees and networks in biological models. New York: John Wiley and Sons.Search in Google Scholar

Ozesmi, U., and Ozesmi, S. L. (2004). Ecological models based on people’s knowledge: A multi-step fuzzy cognitive mapping approach. Ecological Modelling, 176(1-2), 43-64.10.1016/j.ecolmodel.2003.10.027Search in Google Scholar

Papageorgiou, E. I. (2012). Learning algorithms for fuzzy cognitive maps – A review study. IEEE Transactions in Systems, Man and Cybernetics – Part C: Applications and Reviews, 42(2) 150-163.Search in Google Scholar

Papageorgiou, E. I., Markinos, A., and Gemtos, T. (2009). Application of fuzzy cognitive maps for cotton yield management in precision farming. Experts Systems with Applications, 36(10), 12399-12413.10.1016/j.eswa.2009.04.046Search in Google Scholar

Papageorgiou, E. I., Spyridonos, P., Glotsos, D., Stylios, C. D., Groumpos, P. P., and Nikiforidis, G. (2008). Brain tumor characterization using the soft computing technique of fuzzy cognitive maps. Applied Soft Computing Journal, 8, 820-828.10.1016/j.asoc.2007.06.006Search in Google Scholar

Piotrowska, K. (2011). Zastosowanie map kognitywnych w inteligentnych systemach wspomagania podejmowania decyzji. Logistyka, (6), 3433-3442.Search in Google Scholar

Salmeron, J. L. (2009). Supporting decision makers with fuzzy cognitive maps. Research-Technology Management, 52(3), 53-59.10.1080/08956308.2009.11657569Search in Google Scholar

Skład, A. (2018). Modelowanie systemów zarządzania bhp z wykorzystaniem metody rozmytych map kognitywnych i wskaźników wiodących – ujęcie teoretyczne. Zarządzanie i Ekonomia. Bezpieczeństwo Pracy, (2), 11-15.Search in Google Scholar

Słoń, G., and Yastrebov, A. (2011). Optimization and adaptation of dynamic models of fuzzy relational cognitive maps. In International workshop on rough sets, fuzzy sets, data mining, and granular-soft computing (pp. 95-102), Berlin, Heidelberg: Springer.Search in Google Scholar

Sobczak, A. (2007). Zastosowanie rozmytych map kognitywnych w planowaniu rozwoju zorientowanej na usługi architektury systemów informatycznych. Retrieved from https://www.researchgate.net/publication/257891103Search in Google Scholar

Song, H., Miao, C., Roel, W., Shen, Z., and Catthoor, F. (2010). Implementation of fuzzy cognitive maps based on fuzzy neural networks and application in prediction of time series. IEEE Transactions on Fuzzy Systems, 18(2), 233-250.Search in Google Scholar

Stylios, C., and Groumpos, P. P. (1999). Fuzzy cognitive maps: A model for intelligent supervisory control systems. Computers in Industry, (39), 229-238.10.1016/S0166-3615(98)00139-0Search in Google Scholar

Szopik-Depczyńska, K., Cheba, K., Bąk, I., Stajniak, M., Simboli, A., and Ioppolo, G. (2018). The study of relationship in a hierarchical structure of EU sustainable development indicators. Ecological indicators, 90, 120-131.10.1016/j.ecolind.2018.03.002Search in Google Scholar

Taber, W. R. (1991). Knowledge processing with fuzzy cognitive maps. Experts Systems with Applications, 2(1), 83-87.10.1016/0957-4174(91)90136-3Search in Google Scholar

Tan, C. O., and Ozesmi, U. (2006). A generic shallow lake ecosystem model based on collective expert knowledge. Hydrobiologia, 563(1), 125-142.10.1007/s10750-005-1397-5Search in Google Scholar

Trzaskalik, T. (2014). Wielokryterialne wspomaganie decyzji. Przegląd metod i zastosowań. Zeszyty Naukowe Politechniki Śląskiej, (74), 239-263.Search in Google Scholar

Wei, Z., Lu, L., and Yanchun, Z. (2008). Using fuzzy cognitive time maps for modeling and evaluating trust dynamics in virtual enterprises. Experts Systems with Applications, 35(4), 1583-1592.10.1016/j.eswa.2007.08.071Search in Google Scholar

Woźniak, J. (2017). Zarządzanie ryzykiem w przedsiębiorstwach projektowych w sektorach kreatywnych. Część 2: Identyfikacja problemów badawczych – studium przypadku. Zeszyty Naukowe Uniwersytetu Przyrodniczo-Humanistycznego w Siedlcach, (115), Seria: Administracja i Zarządzanie (42), 85-98.Search in Google Scholar

Zioło, M., Filipiak, M. Z., Bąk, I., and Cheba, K. (2019). How to design more sustainable financial systems: the roles of environmental, social, and governance factors in the decision-making process. Sustainability, 11(20), 1-34.10.3390/su11205604Search in Google Scholar