{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,7]],"date-time":"2024-09-07T17:04:12Z","timestamp":1725728652710},"publisher-location":"Berlin, Heidelberg","reference-count":69,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642386572"},{"type":"electronic","value":"9783642386589"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013]]},"DOI":"10.1007\/978-3-642-38658-9_30","type":"book-chapter","created":{"date-parts":[[2013,6,4]],"date-time":"2013-06-04T01:43:38Z","timestamp":1370310218000},"page":"329-344","source":"Crossref","is-referenced-by-count":34,"title":["A New Method for Designing and Complexity Reduction of Neuro-fuzzy Systems for Nonlinear Modelling"],"prefix":"10.1007","author":[{"given":"Krystian","family":"\u0141apa","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marcin","family":"Zalasi\u0144ski","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Krzysztof","family":"Cpa\u0142ka","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"30_CR1","doi-asserted-by":"crossref","unstructured":"Aziz, D., Ali, M.A.M., Gan, K.B., Saiboon, I.: Initialization of Adaptive Neuro-Fuzzy Inference System Using Fuzzy Clustering in Predicting Primary Triage Category. In: 2012 4th International Conference on Intelligent and Advanced Systems, ICIAS, vol.\u00a01, pp. 170\u2013174 (2012)","DOI":"10.1109\/ICIAS.2012.6306181"},{"key":"30_CR2","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"1060","DOI":"10.1007\/11785231_111","volume-title":"Artificial Intelligence and Soft Computing \u2013 ICAISC 2006","author":"\u0141. Bartczuk","year":"2006","unstructured":"Bartczuk, \u0141., Rutkowska, D.: A new version of the fuzzy-ID3 algorithm. In: Rutkowski, L., Tadeusiewicz, R., Zadeh, L.A., \u017burada, J.M. (eds.) ICAISC 2006. LNCS (LNAI), vol.\u00a04029, pp. 1060\u20131070. Springer, Heidelberg (2006)"},{"key":"30_CR3","series-title":"AISC","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1007\/978-3-642-04462-5_2","volume-title":"Computers in Medical Activity","author":"\u0141. Bartczuk","year":"2009","unstructured":"Bartczuk, \u0141., Rutkowska, D.: Medical diagnosis with type-2 fuzzy decision trees. In: K\u0105cki, E., Rudnicki, M., Stempczy\u0144ska, J. (eds.) Computers in Medical Activity. AISC, vol.\u00a065, pp. 11\u201321. Springer, Heidelberg (2009)"},{"key":"30_CR4","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"197","DOI":"10.1007\/978-3-540-69731-2_20","volume-title":"Artificial Intelligence and Soft Computing \u2013 ICAISC 2008","author":"\u0141. Bartczuk","year":"2008","unstructured":"Bartczuk, \u0141., Rutkowska, D.: Type-2 fuzzy decision trees. In: Rutkowski, L., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2008. LNCS (LNAI), vol.\u00a05097, pp. 197\u2013206. Springer, Heidelberg (2008)"},{"key":"30_CR5","doi-asserted-by":"crossref","unstructured":"Bentley, P.: Evolutionary Design by Computers. Morgan Kaufmann (1999)","DOI":"10.1007\/978-1-4471-0819-1_8"},{"key":"30_CR6","unstructured":"Box, G.E.P., Jenkins, G.M.: Time Series Analysis. In: Forecasting and Control, pp. 532\u2013533 (1976)"},{"key":"30_CR7","unstructured":"Carlos, A.C.C., Gary, B.L., Van Veldhuizen, D.A.: Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation). Springer-Verlag, New York, Inc. (2007)"},{"key":"30_CR8","series-title":"STUDFUZZ","volume-title":"Interpretability Issues in Fuzzy Modeling","year":"2003","unstructured":"Casillas, J., Cordon, O., Herrera, F., Magdalena, L. (eds.): Interpretability Issues in Fuzzy Modeling. STUDFUZZ, vol.\u00a0128. Springer, Heidelberg (2003)"},{"issue":"2","key":"30_CR9","first-page":"147","volume":"18","author":"R. Cierniak","year":"2008","unstructured":"Cierniak, R.: A new approach to image reconstruction from projections problem using a recurrent neural network. Applied Mathematics and Computer Science\u00a018(2), 147\u2013157 (2008)","journal-title":"Applied Mathematics and Computer Science"},{"key":"30_CR10","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"752","DOI":"10.1007\/978-3-540-69731-2_72","volume-title":"Artificial Intelligence and Soft Computing \u2013 ICAISC 2008","author":"R. Cierniak","year":"2008","unstructured":"Cierniak, R.: A novel approach to image reconstruction problem from fan-beam projections using recurrent neural network. In: Rutkowski, L., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2008. LNCS (LNAI), vol.\u00a05097, pp. 752\u2013761. Springer, Heidelberg (2008)"},{"key":"30_CR11","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"706","DOI":"10.1007\/978-3-540-24844-6_108","volume-title":"Artificial Intelligence and Soft Computing - ICAISC 2004","author":"R. Cierniak","year":"2004","unstructured":"Cierniak, R.: An image compression algorithm based on neural networks. In: Rutkowski, L., Siekmann, J.H., Tadeusiewicz, R., Zadeh, L.A. (eds.) ICAISC 2004. LNCS (LNAI), vol.\u00a03070, pp. 706\u2013711. Springer, Heidelberg (2004)"},{"key":"30_CR12","doi-asserted-by":"publisher","first-page":"3238","DOI":"10.1016\/j.neucom.2009.02.005","volume":"72","author":"R. Cierniak","year":"2009","unstructured":"Cierniak, R.: New neural network algorithm for image reconstruction from fan-beam projections. Elsevier Science: Neurocomputing\u00a072, 3238\u20133244 (2009)","journal-title":"Elsevier Science: Neurocomputing"},{"key":"30_CR13","doi-asserted-by":"crossref","unstructured":"Cordon, O., Herrera, F., Hoffman, F., Magdalena, L.: Genetic Fuzzy Systems: Evolutionary Tuning and Learning of Fuzzy Knowledge Bases. Word Scientific (2001)","DOI":"10.1142\/4177"},{"issue":"9","key":"30_CR14","first-page":"1450","volume":"4","author":"K. Cpa\u0142ka","year":"2005","unstructured":"Cpa\u0142ka, K., Rutkowski, L.: Flexible Takagi-Sugeno Neuro-Fuzzy Structures for Nonlinear Approximation. WSEAS Transactions on Systems\u00a04(9), 1450\u20131458 (2005)","journal-title":"WSEAS Transactions on Systems"},{"issue":"4","key":"30_CR15","doi-asserted-by":"publisher","first-page":"701","DOI":"10.1109\/TNN.2009.2012425","volume":"20","author":"K. Cpa\u0142ka","year":"2009","unstructured":"Cpa\u0142ka, K.: A New Method for Design and Reduction of Neuro-Fuzzy Classification Systems. IEEE Transactions on Neural Networks\u00a020(4), 701\u2013714 (2009)","journal-title":"IEEE Transactions on Neural Networks"},{"key":"30_CR16","doi-asserted-by":"crossref","unstructured":"Cpa\u0142ka, K.: On evolutionary designing and learning of flexible neuro-fuzzy structures for nonlinear classification. Nonlinear Analysis Series A: Theory, Methods and Applications 71(12), e1659\u2013e1672 (2009)","DOI":"10.1016\/j.na.2009.02.028"},{"key":"30_CR17","doi-asserted-by":"crossref","unstructured":"Cpa\u0142ka, K., Rutkowski, L.: A new method for designing and reduction of neuro-fuzzy systems. In: 2006 IEEE International Conference on Fuzzy Systems, pp. 1851\u20131857 (2006)","DOI":"10.1109\/FUZZY.2006.1681957"},{"key":"30_CR18","doi-asserted-by":"publisher","first-page":"223","DOI":"10.1109\/91.580797","volume":"5","author":"M. Delgado","year":"1997","unstructured":"Delgado, M., G\u00f3mez-Skarmeta, A.F., Martin, F.: Fuzzy clustering-based rapid prototyping for fuzzy rule-based modelling. IEEE Transaction on Fuzzy Systems\u00a05, 223\u2013233 (1997)","journal-title":"IEEE Transaction on Fuzzy Systems"},{"key":"30_CR19","doi-asserted-by":"crossref","unstructured":"Diago, L., Kitaoka, T., Hagiwara, I., Kambayashi, T.: Neuro-fuzzy quantification of personal perceptions of facial images based on a limited data set. IEEE Transactions on Neural Networks, 2422\u20132234 (2011)","DOI":"10.1109\/TNN.2011.2176349"},{"key":"30_CR20","volume-title":"Evolutionary Computation: Toward a New Philosophy of Machine Intelligence","author":"D.B. Fogel","year":"2006","unstructured":"Fogel, D.B.: Evolutionary Computation: Toward a New Philosophy of Machine Intelligence, 3rd edn. IEEE Press, Piscataway (2006)","edition":"3"},{"key":"30_CR21","doi-asserted-by":"crossref","unstructured":"Freitas, A.: Data Mining and Knowledge Discovery With Evolutionary Algorithms. Springer (2002)","DOI":"10.1007\/978-3-662-04923-5"},{"key":"30_CR22","unstructured":"Gabryel, M., Cpa\u0142ka, K., Rutkowski, L.: Evolutionary strategies for learning of neuro-fuzzy systems. In: I Workshop on Genetic Fuzzy Systems, Genewa, pp. 119\u2013123 (2005)"},{"key":"30_CR23","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"354","DOI":"10.1007\/11785231_38","volume-title":"Artificial Intelligence and Soft Computing \u2013 ICAISC 2006","author":"M. Gabryel","year":"2006","unstructured":"Gabryel, M., Rutkowski, L.: Evolutionary Learning of Mamdani-Type Neuro-fuzzy Systems. In: Rutkowski, L., Tadeusiewicz, R., Zadeh, L.A., \u017burada, J.M. (eds.) ICAISC 2006. LNCS (LNAI), vol.\u00a04029, pp. 354\u2013359. Springer, Heidelberg (2006)"},{"key":"30_CR24","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"398","DOI":"10.1007\/978-3-540-69731-2_39","volume-title":"Artificial Intelligence and Soft Computing \u2013 ICAISC 2008","author":"M. Gabryel","year":"2008","unstructured":"Gabryel, M., Rutkowski, L.: Evolutionary methods for designing neuro-fuzzy modular systems combined by bagging algorithm. In: Rutkowski, L., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2008. LNCS (LNAI), vol.\u00a05097, pp. 398\u2013404. Springer, Heidelberg (2008)"},{"key":"30_CR25","doi-asserted-by":"crossref","unstructured":"Gan, L., Laurence, A., Maguib Raouf, N.G., Dadios Elmer, P., Avila Jose Maria, C.: Implementation of GA-KSOM and ANFIS in the classification of colonic histopathological images. In: TENCON 2012 - 2012 IEEE Region 10 Conference, pp. 1\u20135 (2012)","DOI":"10.1109\/TENCON.2012.6412240"},{"key":"30_CR26","unstructured":"Hisao, I., Yusuke, N.: Discussions on Interpretability of Fuzzy Systems using Simple Examples. In: European Society for Fuzzy Logic and Technology - EUSFLAT, pp. 1649\u20131654"},{"key":"30_CR27","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"150","DOI":"10.1007\/978-3-540-28647-9_26","volume-title":"Advances in Neural Networks \u2013 ISNN 2004","author":"A. Horzyk","year":"2004","unstructured":"Horzyk, A., Tadeusiewicz, R.: Self-Optimizing Neural Networks. In: Yin, F.-L., Wang, J., Guo, C. (eds.) ISNN 2004. LNCS, vol.\u00a03173, pp. 150\u2013155. Springer, Heidelberg (2004)"},{"key":"30_CR28","unstructured":"Kaur, G.: Similarity measure of different types of fuzzy sets. School of Mathematics and Computer Applications, Tharpar University (2010)"},{"key":"30_CR29","doi-asserted-by":"publisher","first-page":"596","DOI":"10.1109\/91.728458","volume":"6","author":"E. Kim","year":"1998","unstructured":"Kim, E., Park, M., Kimand, S.: A transformed input-domain approach to fuzzy modelling. IEEE Transaction on Fuzzy Systems\u00a06, 596\u2013604 (1998)","journal-title":"IEEE Transaction on Fuzzy Systems"},{"key":"30_CR30","doi-asserted-by":"crossref","unstructured":"Klement, E.P., Mesiar, R., Pap, E.: Triangular Norms. Kluwer Academic Publishers (2000)","DOI":"10.1007\/978-94-015-9540-7"},{"key":"30_CR31","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"405","DOI":"10.1007\/978-3-540-69731-2_40","volume-title":"Artificial Intelligence and Soft Computing \u2013 ICAISC 2008","author":"M. Korytkowski","year":"2008","unstructured":"Korytkowski, M., Gabryel, M., Rutkowski, L., Drozda, S.: Evolutionary methods to create interpretable modular system. In: Rutkowski, L., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2008. LNCS (LNAI), vol.\u00a05097, pp. 405\u2013413. Springer, Heidelberg (2008)"},{"key":"30_CR32","doi-asserted-by":"crossref","unstructured":"Korytkowski, M., Rutkowski, L., Scherer, R.: On combining backpropagation with boosting. In: Proceedings of the International Joint Conference on Neural Networks, IJCNN, Vancouver, pp. 1274\u20131277 (2005)","DOI":"10.1109\/IJCNN.2006.246838"},{"key":"30_CR33","doi-asserted-by":"crossref","unstructured":"Krishnaji, A., Rao, A.A.: Implementation of a hybrid Neuro Fuzzy Genetic System for improving protein secondary structure prediction. In: 2012 National Computing and Communication Systems (NCCCS), pp. 1\u20135 (2012)","DOI":"10.1109\/NCCCS.2012.6413011"},{"key":"30_CR34","doi-asserted-by":"crossref","unstructured":"Laskowski, \u0141.: A novel hybrid-maximum neural network in stereo-matching process. Neural Computing & Applications (2012), doi:10.1007\/s00521-012-1202-0","DOI":"10.1007\/s00521-012-1202-0"},{"key":"30_CR35","series-title":"LNAI","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1007\/978-3-642-29347-4_14","volume-title":"Artificial Intelligence and Soft Computing","author":"\u0141. Laskowski","year":"2012","unstructured":"Laskowski, \u0141.: Objects auto-selection from stereo-images realised by self-correcting neural network. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2012, Part I. LNCS (LNAI), vol.\u00a07267, pp. 119\u2013125. Springer, Heidelberg (2012)"},{"key":"30_CR36","series-title":"LNAI","doi-asserted-by":"publisher","first-page":"294","DOI":"10.1007\/978-3-642-15825-4_37","volume-title":"Artificial Neural Networks \u2013 ICANN 2010","author":"\u0141. Laskowski","year":"2010","unstructured":"Laskowski, \u0141.: A novel continuous dual mode neural network in stereo-matching process. In: Diamantaras, K., Duch, W., Iliadis, L.S. (eds.) ICANN 2010, Part III. LNCS (LNAI), vol.\u00a06354, pp. 294\u2013297. Springer, Heidelberg (2010)"},{"key":"30_CR37","doi-asserted-by":"crossref","unstructured":"Lin, J., Zheng, Y.B.: Vibration control of rotating plate by decomposed neuro-fuzzy control with genetic algorithm tuning. In: 2012 IEEE International Conference on Control Applications, CCA, pp. 575\u2013580 (2012)","DOI":"10.1109\/CCA.2012.6402367"},{"issue":"5","key":"30_CR38","doi-asserted-by":"publisher","first-page":"405","DOI":"10.1142\/S0129065710002498","volume":"20","author":"X. Li","year":"2010","unstructured":"Li, X., Er, M.J., Lim, B.S., et al.: Fuzzy Regression Modeling for Tool Performance Prediction and Degradation Detection. International Journal of Neural Systems\u00a020(5), 405\u2013419 (2010)","journal-title":"International Journal of Neural Systems"},{"key":"30_CR39","doi-asserted-by":"publisher","first-page":"190","DOI":"10.1109\/91.388173","volume":"3","author":"Y. Lin","year":"1995","unstructured":"Lin, Y., Cunningham III, G.A.: A New Approach To Fuzzy-Neural System Modeling. IEEE Transactions on Fuzzy Systems\u00a03, 190\u2013198 (1995)","journal-title":"IEEE Transactions on Fuzzy Systems"},{"key":"30_CR40","unstructured":"Michalewicz, Z.: Genetic Algorithms + Data Structures=Evolution Programs. Springer (1999)"},{"key":"30_CR41","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"332","DOI":"10.1007\/978-3-540-24844-6_47","volume-title":"Artificial Intelligence and Soft Computing - ICAISC 2004","author":"R. Nowicki","year":"2004","unstructured":"Nowicki, R., Pokropi\u0144ska, A.: Information criterions applied to neuro-fuzzy architectures design. In: Rutkowski, L., Siekmann, J.H., Tadeusiewicz, R., Zadeh, L.A. (eds.) ICAISC 2004. LNCS (LNAI), vol.\u00a03070, pp. 332\u2013337. Springer, Heidelberg (2004)"},{"key":"30_CR42","unstructured":"Nowicki, R., Scherer, R., Rutkowski, L.: A method for learning of hierarchical fuzzy systems. In: Sincak, P., Vascak, J., Kvasnicka, V., Pospichal, J. (eds.) Intelligent Technologies - Theory and Applications, pp. 124\u2013129. IOS Press (2002)"},{"key":"30_CR43","unstructured":"Pal, N.R., Chakraborty, D.: Simultaneous Feature Analysis and SI. In: Neuro-Fuzzy Pattern Recognition. World Scientific, Singapore (2000)"},{"key":"30_CR44","unstructured":"Przyby\u0142, A.: Doctoral dissertation: Adaptive observer of induction motor using artificial neural networks and evolutionary algorithms. Poznan University of Technology (2003) (in Polish)"},{"key":"30_CR45","unstructured":"Przyby\u0142, A., Smol\u0105g, J., Kimla, P.: Real-time Ethernet based, distributed control system for the CNC machine. Electrical Review 2010-2 (2010) (in Polish)"},{"key":"30_CR46","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"697","DOI":"10.1007\/978-3-642-29350-4_82","volume-title":"Artificial Intelligence and Soft Computing","author":"A. Przyby\u0142","year":"2012","unstructured":"Przyby\u0142, A., Cpa\u0142ka, K.: A new method to construct of interpretable models of dynamic systems. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2012, Part II. LNCS, vol.\u00a07268, pp. 697\u2013705. Springer, Heidelberg (2012)"},{"key":"30_CR47","doi-asserted-by":"crossref","unstructured":"Rutkowska, D., Nowicki, R., Rutkowski, L.: Neuro-fuzzy architectures with various implication operators. In: Sincak, P., et al. (eds.) The State of the Art in Computational Intelligence, pp. 214\u2013219 (2000)","DOI":"10.1007\/978-3-7908-1844-4_35"},{"key":"30_CR48","doi-asserted-by":"crossref","unstructured":"Rutkowski, L.: Computational Intelligence. Springer (2007)","DOI":"10.1007\/978-3-540-76288-1"},{"key":"30_CR49","unstructured":"Rutkowski, L.: Flexible Neuro-Fuzzy Systems. Kluwer Academic Publishers (2004)"},{"issue":"3","key":"30_CR50","doi-asserted-by":"publisher","first-page":"554","DOI":"10.1109\/TNN.2003.811698","volume":"14","author":"L. Rutkowski","year":"2003","unstructured":"Rutkowski, L., Cpa\u0142ka, K.: Flexible neuro-fuzzy systems. IEEE Trans. Neural Networks\u00a014(3), 554\u2013574 (2003)","journal-title":"IEEE Trans. Neural Networks"},{"key":"30_CR51","unstructured":"Rutkowski, L., Cpa\u0142ka, K.: Flexible weighted neuro-fuzzy systems. In: Proceedings of the 9th Neural Information Processing, pp. 1857\u20131861 (2002)"},{"issue":"2","key":"30_CR52","doi-asserted-by":"publisher","first-page":"1238","DOI":"10.1109\/TIE.2011.2161652","volume":"59","author":"L. Rutkowski","year":"2012","unstructured":"Rutkowski, L., Przyby\u0142, A., Cpa\u0142ka, K.: Novel Online Speed Profile Generation for Industrial Machine Tool Based on Flexible Neuro-Fuzzy Approximation. IEEE Transactions on Industrial Electronics\u00a059(2), 1238\u20131247 (2012)","journal-title":"IEEE Transactions on Industrial Electronics"},{"key":"30_CR53","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"645","DOI":"10.1007\/978-3-642-13232-2_79","volume-title":"Artifical Intelligence and Soft Computing","author":"L. Rutkowski","year":"2010","unstructured":"Rutkowski, L., Przyby\u0142, A., Cpa\u0142ka, K., Er, M.J.: Online Speed Profile Generation for Industrial Machine Tool Based on Neuro Fuzzy Approach. In: Rutkowski, L., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2010, Part II. LNCS, vol.\u00a06114, pp. 645\u2013650. Springer, Heidelberg (2010)"},{"key":"30_CR54","doi-asserted-by":"crossref","unstructured":"Scherer, R., Rutkowski, L.: A fuzzy relational system with linguistic antecedent certainty factors. In: 6th International Conference on Neural Networks and Soft Computing, Zakopane, Poland. Advances In Soft Computing, pp. 563\u2013569 (2003)","DOI":"10.1007\/978-3-7908-1902-1_86"},{"key":"30_CR55","series-title":"SCI","first-page":"35","volume-title":"Computational Intelligence for Modelling and Prediction","author":"R. Scherer","year":"2005","unstructured":"Scherer, R., Rutkowski, L.: Connectionist fuzzy relational systems. In: Halgamuge, S.K., Wang, L. (eds.) Computational Intelligence for Modelling and Prediction. SCI, vol.\u00a02, pp. 35\u201347. Springer, Heidelberg (2005)"},{"key":"30_CR56","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"376","DOI":"10.1007\/978-3-540-24844-6_54","volume-title":"Artificial Intelligence and Soft Computing - ICAISC 2004","author":"R. Scherer","year":"2004","unstructured":"Scherer, R., Rutkowski, L.: Neuro-fuzzy relational classifiers. In: Rutkowski, L., Siekmann, J.H., Tadeusiewicz, R., Zadeh, L.A. (eds.) ICAISC 2004. LNCS (LNAI), vol.\u00a03070, pp. 376\u2013380. Springer, Heidelberg (2004)"},{"issue":"3","key":"30_CR57","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1007\/s10822-006-9042-6","volume":"20","author":"M. Szaleniec","year":"2006","unstructured":"Szaleniec, M., Goclon, J., Witko, M., Tadeusiewicz, R.: Application of artificial neural networks and DFT-based parameters for prediction of reaction kinetics of ethylbenzene dehydrogenase. Journal of Computer-Aided Molecular Design\u00a020(3), 145\u2013157 (2006)","journal-title":"Journal of Computer-Aided Molecular Design"},{"key":"30_CR58","doi-asserted-by":"crossref","unstructured":"Rey, M.I., Galende, M., Sainz, G.I., Fuente, M.J.: Checking orthogonal transformations and genetic algorithms for selection of fuzzy rules based on interpretability-accuracy concepts. In: 2011 IEEE International Conference on Fuzzy Systems (FUZZ), pp. 1271\u20131278 (2011)","DOI":"10.1109\/FUZZY.2011.6007531"},{"key":"30_CR59","unstructured":"Sivanandam, S.N., Deepa, S.N.: Introduction to Genetic Algorithms, pp. I-XIX, 1-442. Springer (2008)"},{"key":"30_CR60","doi-asserted-by":"crossref","unstructured":"Subramanian, K., Suresh, S., Venkatesh Babu, R.: Meta-Cognitive Neuro-Fuzzy Inference System for human emotion recognition. In: The 2012 International Joint Conference on Neural Networks (IJCNN), pp. 1\u20137 (2012)","DOI":"10.1109\/IJCNN.2012.6252678"},{"key":"30_CR61","doi-asserted-by":"publisher","first-page":"315","DOI":"10.1016\/0165-0114(91)90110-C","volume":"42","author":"M. Sugeno","year":"1991","unstructured":"Sugeno, M., Tanaka, K.: Successive identification on a fuzzy model and its applications to prediction of a complex system. Fuzzy Sets and Systems\u00a042, 315\u2013334 (1991)","journal-title":"Fuzzy Sets and Systems"},{"key":"30_CR62","doi-asserted-by":"crossref","unstructured":"Sugeno, M., Yasakuwa, T.: A Fuzzy-Logic-Based Approach to Qualitative Modeling. IEEE Transactions on Fuzzy Systems, 7\u201331 (1993)","DOI":"10.1109\/TFUZZ.1993.390281"},{"key":"30_CR63","unstructured":"Wang, N., Hu, C., Shi, W.: A Mamdani Fuzzy Modeling Method via Evolution-Objective Cluster Analysis. In: 2012 31st Chinese Control Conference (CCC), pp. 3470\u20133475 (2012)"},{"key":"30_CR64","doi-asserted-by":"publisher","first-page":"454","DOI":"10.1109\/91.481954","volume":"3","author":"L.X. Wang","year":"1995","unstructured":"Wang, L.X., Langari, R.: Building Sugeno-type models using fuzzy discretization and orthogonal parameter estimation techniques. IEEE Transaction on Fuzzy Systems\u00a03, 454\u2013458 (1995)","journal-title":"IEEE Transaction on Fuzzy Systems"},{"key":"30_CR65","unstructured":"Yong, L., Singh, C.: Evaluation of the failure rates of transmission lines during hurricanes using a neuro-fuzzy system. In: 2010 IEEE 11th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), pp. 569\u2013574 (2010)"},{"key":"30_CR66","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1016\/0165-0114(93)90273-K","volume":"54","author":"Y. Yoshinari","year":"1993","unstructured":"Yoshinari, Y., Pedrycz, W., Hirota, K.: Construction of fuzzy models through clustering techniques. Fuzzy Sets and Systems\u00a054, 157\u2013165 (1993)","journal-title":"Fuzzy Sets and Systems"},{"key":"30_CR67","doi-asserted-by":"crossref","unstructured":"Zitzler, E., Laumanns, M., Bleuler, S.: A Tutorial on Evolutionary Multiobjective Optimization. In: Metaheuristics for Multiobjective Optimisation, pp. 3\u201338 (2003)","DOI":"10.1007\/978-3-642-17144-4_1"},{"key":"30_CR68","unstructured":"Zalasi\u0144ski, M., Cpa\u0142ka, K.: A new method of on-line signature verification using a flexible fuzzy one-class classifier. Selected Topics in Computer Science Applications, pp. 38\u201353. EXIT (2011)"},{"key":"30_CR69","series-title":"LNAI","doi-asserted-by":"publisher","first-page":"362","DOI":"10.1007\/978-3-642-29350-4_44","volume-title":"Artificial Intelligence and Soft Computing","author":"M. Zalasi\u0144ski","year":"2012","unstructured":"Zalasi\u0144ski, M., Cpa\u0142ka, K.: Novel algorithm for the on-line signature verification. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2012, Part II. LNCS (LNAI), vol.\u00a07268, pp. 362\u2013367. Springer, Heidelberg (2012)"}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence and Soft Computing"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-38658-9_30","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,2,23]],"date-time":"2022-02-23T21:39:27Z","timestamp":1645652367000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-38658-9_30"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013]]},"ISBN":["9783642386572","9783642386589"],"references-count":69,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-38658-9_30","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2013]]}}}