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On the Convergence of Sigmoidal Fuzzy Grey Cognitive Maps

International Journal of Applied Mathematics and Computer Science's Cover Image
International Journal of Applied Mathematics and Computer Science
Information Technology for Systems Research (special section, pp. 427-515), Piotr Kulczycki, Janusz Kacprzyk, László T. Kóczy, Radko Mesiar (Eds.)

Cite

Axelrod, R. (1976). Structure of Decision: The Cognitive Maps of Political Elites, Princeton University Press, Princeton, NJ.Search in Google Scholar

Bartczuk, Ł., Przybył, A. and Cpałka, K. (2016). A new approach to nonlinear modelling of dynamic systems based on fuzzy rules, International Journal of Applied Mathematics and Computer Science26(3): 603–621, DOI: 10.1515/amcs-2016-0042.10.1515/amcs-2016-0042Open DOISearch in Google Scholar

Boutalis, Y., Kottas, T.L. and Christodoulou, M. (2009). Adaptive estimation of fuzzy cognitive maps with proven stability and parameter convergence, IEEE Transactions on Fuzzy Systems17(4): 874–889.10.1109/TFUZZ.2009.2017519Search in Google Scholar

Buruzs, A., Hatwágner, M.F. and Kóczy, L.T. (2015). Expert-based method of integrated waste management systems for developing fuzzy cognitive map, in Q. Zhu and A. Azar (Eds), Complex System Modelling and Control Through Intelligent Soft Computations, Springer, Cham, pp. 111–137.10.1007/978-3-319-12883-2_4Search in Google Scholar

Busemeyer, J.R. (2001). Dynamic decision making, in N.J. Smelser and P.B. Baltes (Eds), International Encyclopedia of the Social & Behavioral Sciences, Elsevier, New York, NY pp. 3903–3908.10.1016/B0-08-043076-7/00641-0Search in Google Scholar

Carlsson, C. and Fullér, R. (2011). Possibility for Decision: A Possibilistic Approach to Real Life Decisions, Studies in Fuzziness and Soft Computing Series, Vol. 270/2011, Springer Publishing Company, Berlin/Heidelberg.Search in Google Scholar

Carvalho, J.P. (2013). On the semantics and the use of fuzzy cognitive maps and dynamic cognitive maps in social sciences, Fuzzy Sets and Systems214: 6–19.10.1016/j.fss.2011.12.009Search in Google Scholar

Felix, G., Nápoles, G., Falcon, R., Froelich, W., Vanhoof, K. and Bello, R. (2017). A review on methods and software for fuzzy cognitive maps, Artificial Intelligence Review2017: 1–31.Search in Google Scholar

Ferreira, F.A., Ferreira, J.J., Fernandes, C.I., Meidut˙e-Kavaliauskien˙e, I. and Jalali, M.S. (2017). Enhancing knowledge and strategic planning of bank customer loyalty using fuzzy cognitive maps, Technological and Economic Development of Economy23(6): 860–876.10.3846/20294913.2016.1213200Search in Google Scholar

Harmati, I.Á., Hatwágner, M.F. and Kóczy, L.T. (2018). On the existence and uniqueness of fixed points of fuzzy cognitive maps, in J. Medina et al. (Eds), Information Processing and Management of Uncertainty in Knowledge-Based Systems: Theory and Foundations, Springer International Publishing, Cham, pp. 490–500.10.1007/978-3-319-91473-2_42Search in Google Scholar

Harmati, I.Á. and Kóczy, L.T. (2018). On the convergence of fuzzy grey cognitive maps, in P. Kulczycki et al. (Eds), Contemporary Computational Science, AGH-UCT Press, Cracow, p. 139.Search in Google Scholar

Harmati, I.Á. and Kóczy, L.T. (2019). On the convergence of fuzzy grey cognitive maps, in P. Kulczycki et al. (Eds), Information Technology, Systems Research and Computational Physics, Advances in Intelligent Systems and Computing, Springer, Cham, pp. 74–84.10.1007/978-3-030-18058-4_6Search in Google Scholar

Knight, C.J., Lloyd, D.J. and Penn, A.S. (2014). Linear and sigmoidal fuzzy cognitive maps: An analysis of fixed points, Applied Soft Computing15: 193–202.10.1016/j.asoc.2013.10.030Search in Google Scholar

Kosko, B. (1986). Fuzzy cognitive maps, International Journal of Man-Machine Studies24(1): 65–75.10.1016/S0020-7373(86)80040-2Search in Google Scholar

Liu, S. and Lin, Y. (2006). Grey Information: Theory and Practical Applications, Springer Science & Business Media, London.Search in Google Scholar

Lorenz, S., Martinez-Fernández, V., Alonso, C., Mosselman, E., de Jalón, D.G., del Tánago, M.G., Belletti, B., Hendriks, D. and Wolter, C. (2016). Fuzzy cognitive mapping for predicting hydromorphological responses to multiple pressures in rivers, Journal of Applied Ecology53(2): 559–566.10.1111/1365-2664.12569Search in Google Scholar

Nápoles, G., Papageorgiou, E., Bello, R. and Vanhoof, K. (2016). On the convergence of sigmoid fuzzy cognitive maps, Information Sciences349–350: 154–171.10.1016/j.ins.2016.02.040Search in Google Scholar

Nápoles, G., Papageorgiou, E., Bello, R. and Vanhoof, K. (2017). Learning and convergence of fuzzy cognitive maps used in pattern recognition, Neural Processing Letters45(2): 431–444.10.1007/s11063-016-9534-xSearch in Google Scholar

Papageorgiou, E.I. and Salmeron, J.L. (2012). Learning fuzzy grey cognitive maps using nonlinear Hebbian-based approach, International Journal of Approximate Reasoning53(1): 54–65.10.1016/j.ijar.2011.09.006Search in Google Scholar

Papageorgiou, E.I. and Salmeron, J.L. (2013). A review of fuzzy cognitive maps research during the last decade, IEEE Transactions on Fuzzy Systems21(1): 66–79.10.1109/TFUZZ.2012.2201727Search in Google Scholar

Papageorgiou, E.I. and Salmeron, J.L. (2014). Methods and algorithms for fuzzy cognitive map-based modeling, in E. Papageorgiou (Ed.), Fuzzy Cognitive Maps for Applied Sciences and Engineering, Springer, Berlin/Heidelberg, pp. 1–29.10.1007/978-3-642-39739-4_1Search in Google Scholar

Salmeron, J.L. (2010). Modelling grey uncertainty with fuzzy grey cognitive maps, Expert Systems with Applications37(12): 7581–7588.10.1016/j.eswa.2010.04.085Search in Google Scholar

Salmeron, J.L. and Gutierrez, E. (2012). Fuzzy grey cognitive maps in reliability engineering, Applied Soft Computing12(12): 3818–3824.10.1016/j.asoc.2012.02.003Search in Google Scholar

Salmeron, J.L. and Papageorgiou, E.I. (2012). A fuzzy grey cognitive maps-based decision support system for radiotherapy treatment planning, Knowledge-Based Systems30: 151–160.10.1016/j.knosys.2012.01.008Search in Google Scholar

Smoczek, J. (2013). Evolutionary optimization of interval mathematics-based design of a TSK fuzzy controller for anti-sway crane control, International Journal of Applied Mathematics and Computer Science23(4): 749–759, DOI: 10.2478/amcs-2013-0056.10.2478/amcs-2013-0056Open DOISearch in Google Scholar

Stylios, C.D. and Groumpos, P.P. (2004). Modeling complex systems using fuzzy cognitive maps, IEEE Transactions on Systems, Man, and Cybernetics A: Systems and Humans34(1): 155–162.10.1109/TSMCA.2003.818878Search in Google Scholar

Tsadiras, A.K. (2008). Comparing the inference capabilities of binary, trivalent and sigmoid fuzzy cognitive maps, Information Sciences178(20): 3880–3894.10.1016/j.ins.2008.05.015Search in Google Scholar

Vidhya, R. and Hepzibah, R.I. (2017). A comparative study on interval arithmetic operations with intuitionistic fuzzy numbers for solving an intuitionistic fuzzy multi-objective linear programming problem, International Journal of Applied Mathematics and Computer Science27(3): 563–573, DOI: 10.1515/amcs-2017-0040.10.1515/amcs-2017-0040Open DOISearch in Google Scholar

Zanon, L.G. and Carpinetti, L.C.R. (2018). Fuzzy cognitive maps and grey systems theory in the supply chain management context: A literature review and a research proposal, 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Rio de Janerio, Brazil, pp. 1554–1561.10.1109/FUZZ-IEEE.2018.8491473Search in Google Scholar

Ziv, G., Watson, E., Young, D., Howard, D.C., Larcom, S.T. and Tanentzap, A.J. (2018). The potential impact of Brexit on the energy, water and food nexus in the UK: A fuzzy cognitive mapping approach, Applied Energy210: 487–498.10.1016/j.apenergy.2017.08.033Search in Google Scholar

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2083-8492
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4 veces al año
Temas de la revista:
Mathematics, Applied Mathematics