{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T05:30:11Z","timestamp":1781069411011,"version":"3.54.1"},"publisher-location":"Cham","reference-count":38,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319642857","type":"print"},{"value":"9783319642864","type":"electronic"}],"license":[{"start":{"date-parts":[[2017,8,5]],"date-time":"2017-08-05T00:00:00Z","timestamp":1501891200000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-319-64286-4_5","type":"book-chapter","created":{"date-parts":[[2017,8,4]],"date-time":"2017-08-04T03:19:48Z","timestamp":1501816788000},"page":"83-98","source":"Crossref","is-referenced-by-count":30,"title":["Fuzzy Cognitive Maps Based Models for Pattern Classification: Advances and Challenges"],"prefix":"10.1007","author":[{"given":"Gonzalo","family":"N\u00e1poles","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maikel","family":"Leon Espinosa","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Isel","family":"Grau","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Koen","family":"Vanhoof","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rafael","family":"Bello","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2017,8,5]]},"reference":[{"issue":"4","key":"5_CR1","doi-asserted-by":"crossref","first-page":"874","DOI":"10.1109\/TFUZZ.2009.2017519","volume":"17","author":"Y Boutalis","year":"2009","unstructured":"Boutalis, Y., Kottas, T.L., Christodoulou, M.: Adaptive estimation of fuzzy cognitive maps with proven stability and parameter convergence. IEEE Trans. Fuzzy Syst. 17(4), 874\u2013889 (2009)","journal-title":"IEEE Trans. Fuzzy Syst."},{"issue":"1","key":"5_CR2","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1023\/A:1010933404324","volume":"45","author":"L Breiman","year":"2001","unstructured":"Breiman, L.: Random forests. Mach. Learn. 45(1), 5\u201332 (2001)","journal-title":"Mach. Learn."},{"issue":"3","key":"5_CR3","doi-asserted-by":"crossref","first-page":"5221","DOI":"10.1016\/j.eswa.2008.06.072","volume":"36","author":"S Bueno","year":"2009","unstructured":"Bueno, S., Salmeron, J.L.: Benchmarking main activation functions in fuzzy cognitive maps. Expert Syst. Appl. 36(3), 5221\u20135229 (2009)","journal-title":"Expert Syst. Appl."},{"key":"5_CR4","unstructured":"Duda, R.O., Hart, P.E., Stork, D.G.: Pattern Classification, 2nd edn. Wiley (2012)"},{"key":"5_CR5","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1016\/j.neucom.2016.11.059","volume":"232","author":"W Froelich","year":"2017","unstructured":"Froelich, W.: Towards improving the efficiency of the fuzzy cognitive map classifier. Neurocomputing 232, 83\u201393 (2017)","journal-title":"Neurocomputing"},{"issue":"1","key":"5_CR6","first-page":"15","volume":"17","author":"I Grau","year":"2013","unstructured":"Grau, I., N\u00e1poles, G., Bonet, I., Garcia, M.M.: Backpropagation through time algorithm for training recurrent neural networks using variable length instances. Computaci\u00f3n y Sistemas 17(1), 15\u201324 (2013)","journal-title":"Computaci\u00f3n y Sistemas"},{"key":"5_CR7","volume-title":"Neural Networks: A Comprehensive Foundation","author":"S Haykin","year":"1998","unstructured":"Haykin, S.: Neural Networks: A Comprehensive Foundation, 2nd edn. Prentice Hall PTR, Upper Saddle River (1998)","edition":"2"},{"issue":"4","key":"5_CR8","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1109\/5254.708428","volume":"13","author":"MA Hearst","year":"1998","unstructured":"Hearst, M.A., Dumais, S.T., Osman, E., Platt, J., Scholkopf, B.: Support vector machines. IEEE Intell. Syst. Appl. 13(4), 18\u201328 (1998)","journal-title":"IEEE Intell. Syst. Appl."},{"issue":"6","key":"5_CR9","doi-asserted-by":"crossref","first-page":"1223","DOI":"10.1162\/0899766053630350","volume":"17","author":"H Jacobsson","year":"2005","unstructured":"Jacobsson, H.: Rule extraction from recurrent neural networks: a taxonomy and review. Neural Comput. 17(6), 1223\u20131263 (2005)","journal-title":"Neural Comput."},{"key":"5_CR10","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1016\/j.asoc.2013.10.030","volume":"15","author":"CJ Knight","year":"2014","unstructured":"Knight, C.J., Lloyd, D.J., Penn, A.S.: Linear and sigmoidal fuzzy cognitive maps: an analysis of fixed points. Appl. Soft Comput. 15, 193\u2013202 (2014)","journal-title":"Appl. Soft Comput."},{"issue":"1","key":"5_CR11","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1016\/S0020-7373(86)80040-2","volume":"24","author":"B Kosko","year":"1986","unstructured":"Kosko, B.: Fuzzy cognitive maps. Int. J. Man-Mach. Stud. 24(1), 65\u201375 (1986)","journal-title":"Int. J. Man-Mach. Stud."},{"issue":"4","key":"5_CR12","doi-asserted-by":"crossref","first-page":"377","DOI":"10.1016\/0888-613X(88)90111-9","volume":"2","author":"B Kosko","year":"1988","unstructured":"Kosko, B.: Hidden patterns in combined and adaptive knowledge networks. Int. J. Approx. Reason. 2(4), 377\u2013393 (1988)","journal-title":"Int. J. Approx. Reason."},{"key":"5_CR13","unstructured":"Kosko, B.: Fuzzy Engineering. Prentice Hall (1997)"},{"key":"5_CR14","doi-asserted-by":"crossref","unstructured":"Kottas, T.L., Boutalis, Y.S., Christodoulou, M.A.: Fuzzy cognitive networks: adaptive network estimation and control paradigms. In: Glykas, M. (ed.) Fuzzy Cognitive Maps: Advances in Theory, Methodologies, Tools and Applications, pp. 89\u2013134. Springer, Berlin, Heidelberg (2010)","DOI":"10.1007\/978-3-642-03220-2_5"},{"key":"5_CR15","first-page":"15","volume-title":"Neurocomputing: Foundations of Research","author":"WS McCulloch","year":"1988","unstructured":"McCulloch, W.S., Pitts, W.: A logical calculus of the ideas immanent in nervous activity. In: Anderson, J.A., Rosenfeld, E. (eds.) Neurocomputing: Foundations of Research, pp. 15\u201327. MIT Press, Cambridge (1988)"},{"key":"5_CR16","doi-asserted-by":"crossref","unstructured":"N\u00e1poles, G.,\u00a0Bello, R.,\u00a0Vanhoof, K.: Learning Stability Features on Sigmoid Fuzzy Cognitive Maps through a Swarm Intelligence Approach, pp. 270\u2013277. Springer, Berlin, Heidelberg (2013)","DOI":"10.1007\/978-3-642-41822-8_34"},{"issue":"6S","key":"5_CR17","doi-asserted-by":"crossref","first-page":"S77","DOI":"10.3233\/IDA-140710","volume":"18","author":"G N\u00e1poles","year":"2014","unstructured":"N\u00e1poles, G., Bello, R., Vanhoof, K.: How to improve the convergence on sigmoid fuzzy cognitive maps? Intell. Data Anal. 18(6S), S77\u2013S88 (2014)","journal-title":"Intell. Data Anal."},{"key":"5_CR18","doi-asserted-by":"crossref","unstructured":"N\u00e1poles, G.,\u00a0Concepci\u00f3n, L.,\u00a0Falcon, R.,\u00a0Bello, R.,\u00a0Vanhoof, K.: On the accuracy-convergence trade-off in sigmoid fuzzy cognitive maps. IEEE Trans. Fuzzy Syst. (submitted) (2017)","DOI":"10.1109\/TFUZZ.2017.2768327"},{"key":"5_CR19","doi-asserted-by":"crossref","unstructured":"N\u00e1poles, G.,\u00a0Falcon, R.,\u00a0Papageorgiou, E.,\u00a0Bello, R.,\u00a0Vanhoof, K.: Partitive granular cognitive maps to graded multilabel classification. In: 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pp. 1363\u20131370 (2016)","DOI":"10.1109\/FUZZ-IEEE.2016.7737848"},{"key":"5_CR20","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1016\/j.ijar.2017.03.011","volume":"85","author":"G N\u00e1poles","year":"2017","unstructured":"N\u00e1poles, G., Falcon, R., Papageorgiou, E., Bello, R., Vanhoof, K.: Rough cognitive ensembles. Int. J. Approx. Reason. 85, 79\u201396 (2017)","journal-title":"Int. J. Approx. Reason."},{"issue":"3","key":"5_CR21","doi-asserted-by":"crossref","first-page":"821","DOI":"10.1016\/j.eswa.2013.08.012","volume":"41","author":"G N\u00e1poles","year":"2014","unstructured":"N\u00e1poles, G., Grau, I., Bello, R., Grau, R.: Two-steps learning of fuzzy cognitive maps for prediction and knowledge discovery on the HIV-1 drug resistance. Expert Syst. Appl. 41(3), 821\u2013830 (2014)","journal-title":"Expert Syst. Appl."},{"key":"5_CR22","doi-asserted-by":"crossref","unstructured":"N\u00e1poles, G.,\u00a0Grau, I.,\u00a0Falcon, R.,\u00a0Bello, R.,\u00a0Vanhoof, K.: A granular intrusion detection system using rough cognitive networks. In:\u00a0Abielmona, R.,\u00a0Falcon, R.,\u00a0Zincir-Heywood, N.,\u00a0Abbass, H. (eds.) Recent Advances in Computational Intelligence in Defense and Security, chapter\u00a07. Springer (2016)","DOI":"10.1007\/978-3-319-26450-9_7"},{"key":"5_CR23","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1016\/j.knosys.2015.10.015","volume":"91","author":"G N\u00e1poles","year":"2016","unstructured":"N\u00e1poles, G., Grau, I., Papageorgiou, E., Bello, R., Vanhoof, K.: Rough cognitive networks. Knowl.-Based Syst. 91, 46\u201361 (2016)","journal-title":"Knowl.-Based Syst."},{"key":"5_CR24","doi-asserted-by":"crossref","unstructured":"N\u00e1poles, G.,\u00a0Grau, I.,\u00a0Vanhoof, K.,\u00a0Bello, R.: Hybrid model based on rough sets theory and fuzzy cognitive maps for decision-making. In: International Conference on Rough Sets and Intelligent Systems Paradigms, pp. 169\u2013178. Springer (2014)","DOI":"10.1007\/978-3-319-08729-0_16"},{"key":"5_CR25","doi-asserted-by":"crossref","unstructured":"N\u00e1poles, G.,\u00a0Mosquera, C.,\u00a0Falcon, R.,\u00a0Grau, I.,\u00a0Bello, R.,\u00a0Vanhoof, K.: Fuzzy-rough cognitive networks. Neural Netw. (2017)","DOI":"10.1016\/j.neunet.2017.08.007"},{"key":"5_CR26","doi-asserted-by":"crossref","unstructured":"N\u00e1poles, G.,\u00a0Papageorgiou, E.,\u00a0Bello, R.,\u00a0Vanhoof, K.: Learning and convergence of fuzzy cognitive maps used in pattern recognition. Neural Process. Lett. 1\u201314 (2016)","DOI":"10.1007\/s11063-016-9534-x"},{"key":"5_CR27","doi-asserted-by":"crossref","first-page":"154","DOI":"10.1016\/j.ins.2016.02.040","volume":"349\u2013350","author":"G N\u00e1poles","year":"2016","unstructured":"N\u00e1poles, G., Papageorgiou, E., Bello, R., Vanhoof, K.: On the convergence of sigmoid fuzzy cognitive maps. Inf. Sci. 349\u2013350, 154\u2013171 (2016)","journal-title":"Inf. Sci."},{"issue":"1","key":"5_CR28","doi-asserted-by":"crossref","first-page":"500","DOI":"10.1016\/j.asoc.2009.12.010","volume":"11","author":"EI Papageorgiou","year":"2011","unstructured":"Papageorgiou, E.I.: A new methodology for decisions in medical informatics using fuzzy cognitive maps based on fuzzy rule-extraction techniques. Appl. Soft Comput. 11(1), 500\u2013513 (2011)","journal-title":"Appl. Soft Comput."},{"key":"5_CR29","unstructured":"Papageorgiou, E.I.: Learning algorithms for fuzzy cognitive maps\u2014a review study. IEEE Trans. Syst. Man Cybern. Part C (Appl. Rev.) 42(2), 150\u2013163 (2012)"},{"issue":"12","key":"5_CR30","doi-asserted-by":"crossref","first-page":"10620","DOI":"10.1016\/j.eswa.2012.02.148","volume":"39","author":"G Papakostas","year":"2012","unstructured":"Papakostas, G., Koulouriotis, D., Polydoros, A., Tourassis, V.: Towards hebbian learning of fuzzy cognitive maps in pattern classification problems. Expert Syst. Appl. 39(12), 10620\u201310629 (2012)","journal-title":"Expert Syst. Appl."},{"issue":"8","key":"5_CR31","doi-asserted-by":"crossref","first-page":"1461","DOI":"10.1142\/S0218001408006910","volume":"22","author":"GA Papakostas","year":"2008","unstructured":"Papakostas, G.A., Boutalis, Y.S., Koulouriotis, D.E., Mertzios, B.G.: Fuzzy cognitive maps for pattern recognition applications. Int. J. Pattern Recogn. Artif. Intell. 22(8), 1461\u20131486 (2008)","journal-title":"Int. J. Pattern Recogn. Artif. Intell."},{"key":"5_CR32","doi-asserted-by":"crossref","first-page":"291","DOI":"10.1007\/978-3-642-03220-2_12","volume-title":"Fuzzy Cognitive Maps: Advances in Theory, Methodologies, Tools and Applications","author":"GA Papakostas","year":"2010","unstructured":"Papakostas, G.A., Koulouriotis, D.E.: Classifying patterns using fuzzy cognitive maps. In: Glykas, M. (ed.) Fuzzy Cognitive Maps: Advances in Theory, Methodologies, Tools and Applications, pp. 291\u2013306. Springer, Berlin, Heidelberg (2010)"},{"issue":"5","key":"5_CR33","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1007\/BF01001956","volume":"11","author":"Z Pawlak","year":"1982","unstructured":"Pawlak, Z.: Rough sets. Int. J. Comput. Inf. Sci. 11(5), 341\u2013356 (1982)","journal-title":"Int. J. Comput. Inf. Sci."},{"issue":"10","key":"5_CR34","doi-asserted-by":"crossref","first-page":"7288","DOI":"10.1016\/j.eswa.2010.03.006","volume":"37","author":"W Pedrycz","year":"2010","unstructured":"Pedrycz, W.: The design of cognitive maps: a study in synergy of granular computing and evolutionary optimization. Expert Syst. Appl. 37(10), 7288\u20137294 (2010)","journal-title":"Expert Syst. Appl."},{"issue":"4","key":"5_CR35","doi-asserted-by":"crossref","first-page":"859","DOI":"10.1109\/TFUZZ.2013.2277730","volume":"22","author":"W Pedrycz","year":"2014","unstructured":"Pedrycz, W., Homenda, W.: From fuzzy cognitive maps to granular cognitive maps. IEEE Trans. Fuzzy Syst. 22(4), 859\u2013869 (2014)","journal-title":"IEEE Trans. Fuzzy Syst."},{"issue":"1","key":"5_CR36","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1109\/TSMCA.2003.818878","volume":"34","author":"CD Stylios","year":"2004","unstructured":"Stylios, C.D., Groumpos, P.P.: Modeling complex systems using fuzzy cognitive maps. IEEE Trans. Syst. Man Cybern.\u2014Part A: Syst. Hum. 34(1), 155\u2013162 (2004)","journal-title":"IEEE Trans. Syst. Man Cybern.\u2014Part A: Syst. Hum."},{"issue":"20","key":"5_CR37","doi-asserted-by":"crossref","first-page":"3880","DOI":"10.1016\/j.ins.2008.05.015","volume":"178","author":"AK Tsadiras","year":"2008","unstructured":"Tsadiras, A.K.: Comparing the inference capabilities of binary, trivalent and sigmoid fuzzy cognitive maps. Inf. Sci. 178(20), 3880\u20133894 (2008)","journal-title":"Inf. Sci."},{"issue":"3","key":"5_CR38","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1016\/j.ins.2009.09.021","volume":"180","author":"Y Yao","year":"2010","unstructured":"Yao, Y.: Three-way decisions with probabilistic rough sets. Inf. Sci. 180(3), 341\u2013353 (2010)","journal-title":"Inf. Sci."}],"container-title":["Studies in Fuzziness and Soft Computing","Soft Computing Based Optimization and Decision Models"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-64286-4_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T21:07:13Z","timestamp":1569964033000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-64286-4_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,8,5]]},"ISBN":["9783319642857","9783319642864"],"references-count":38,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-64286-4_5","relation":{},"ISSN":["1434-9922","1860-0808"],"issn-type":[{"value":"1434-9922","type":"print"},{"value":"1860-0808","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,8,5]]}}}