{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T02:38:45Z","timestamp":1725849525442},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319285658"},{"type":"electronic","value":"9783319285672"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"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":[[2016]]},"DOI":"10.1007\/978-3-319-28567-2_14","type":"book-chapter","created":{"date-parts":[[2016,2,23]],"date-time":"2016-02-23T10:31:09Z","timestamp":1456223469000},"page":"159-171","source":"Crossref","is-referenced-by-count":2,"title":["Nonlinear Pattern Classification Using Fuzzy System and Hybrid Genetic-Imperialist Algorithm"],"prefix":"10.1007","author":[{"given":"Krystian","family":"\u0141apa","sequence":"first","affiliation":[]},{"given":"Krzysztof","family":"Cpa\u0142ka","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,2,24]]},"reference":[{"key":"14_CR1","doi-asserted-by":"crossref","unstructured":"Alonso, J.M.: Embedding HILK in a three-objective evolutionary algorithm with the aim of modeling highly interpretable fuzzy rule-based classifiers. Eur. Centre Soft Comput. 15\u201320 (2010)","DOI":"10.1109\/GEFS.2010.5454165"},{"key":"14_CR2","unstructured":"Alonso, J.M., Cordon, O., Quirin, A., Magdalena, L.: Analyzing interpretability of fuzzy rule-based systems by means of fuzzy inference-grams. In: 1st World Conference on Soft Computing, pp. 181.1\u2013181.8 (2011)"},{"key":"14_CR3","doi-asserted-by":"crossref","unstructured":"Atashpaz-Gargari, E., Lucas, C.: Imperialist competitive algorithm: an algorithm for optimization inspired by imperialistic competition. IEEE Congress on Evolutionary Computation 7, pp. 4661\u20134666 (2007)","DOI":"10.1109\/CEC.2007.4425083"},{"key":"14_CR4","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1007\/978-81-322-1038-2_2","volume":"201","author":"B Bostanci","year":"2013","unstructured":"Bostanci, B., Bostanci, E.: An evaluation of classification algorithms using Mc Nemars Test. Adv. Intell. Syst. Comput. 201, 15\u201326 (2013)","journal-title":"Adv. Intell. Syst. Comput."},{"key":"14_CR5","doi-asserted-by":"publisher","first-page":"203","DOI":"10.1016\/j.neucom.2013.12.031","volume":"135","author":"K Cpa\u0142ka","year":"2014","unstructured":"Cpa\u0142ka, K., \u0141apa, K., Przyby\u0142, A., Zalasi\u0144ski, M.: A new method for designing neuro-fuzzy systems for nonlinear modelling with interpretability aspects. Neurocomputing 135, 203\u2013217 (2014)","journal-title":"Neurocomputing"},{"key":"14_CR6","doi-asserted-by":"publisher","first-page":"470","DOI":"10.1016\/j.asoc.2014.07.019","volume":"24","author":"M Fazzolari","year":"2014","unstructured":"Fazzolari, M., Alcal\u00e1, R.: Francisco Herrera, A multi-objective evolutionary method for learning granularities based on fuzzy discretization to improve the accuracy-complexity trade-off of fuzzy rule-based classification systems: D-MOFARC algorithm. Appl. Soft Comput. 24, 470\u2013481 (2014)","journal-title":"Appl. Soft Comput."},{"key":"14_CR7","doi-asserted-by":"publisher","first-page":"4340","DOI":"10.1016\/j.ins.2011.02.021","volume":"181","author":"MJ Gacto","year":"2011","unstructured":"Gacto, M.J., Alcal\u00e1, R., Herrera, F.: Interpretability of linguistic fuzzy rule-based systems: an overview of interpretability measures. Inf. Sci. 181, 4340\u20134360 (2011)","journal-title":"Inf. Sci."},{"key":"14_CR8","unstructured":"Gacto, M.J., Alcal\u00e1, R., Herrera, F.: A Multiobjective evolutionary algorithm for tuning fuzzy rule based systems with measures for preserving interpretability. In: Proceedings of the Joint International Fuzzy Systems Association World Congress and the European Society for Fuzzy Logic and Technology Conference (IFSA\/EUSFLAT 2009) (2009)"},{"key":"14_CR9","first-page":"662","volume":"5","author":"J Hossen","year":"2013","unstructured":"Hossen, J., Sayeed, S., Yusof, I., Kalaiarasi, S.M.A.: A framework of modified adaptive fuzzy inference engine (MAFIE) and its application. Int. J. Comput. Inf. Syst. Ind. Manage. Appl. 5, 662\u2013670 (2013)","journal-title":"Int. J. Comput. Inf. Syst. Ind. Manage. Appl."},{"key":"14_CR10","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1007\/978-3-642-18302-7_4","volume-title":"Transactions on Rough Sets XIII","author":"Richard Jensen","year":"2011","unstructured":"Jensen, R., Cornelis, C.: Fuzzy-rough nearest neighbour classification. In: Transactions on Rough Sets XIII, pp. 56\u201372. Springer, Berlin (2011)"},{"issue":"2","key":"14_CR11","doi-asserted-by":"crossref","first-page":"243","DOI":"10.19026\/rjaset.8.966","volume":"8","author":"C Kalaiselvi","year":"2014","unstructured":"Kalaiselvi, C., Nasira, G.M.: A novel approach for the diagnosis of diabetes and liver cancer using ANFIS and improved KNN. Res. J. Appl. Sci. Eng. Technol. 8(2), 243\u2013250 (2014)","journal-title":"Res. J. Appl. Sci. Eng. Technol."},{"issue":"2","key":"14_CR12","doi-asserted-by":"publisher","first-page":"347","DOI":"10.1109\/TCBB.2014.2307325","volume":"11","author":"G Kumar","year":"2014","unstructured":"Kumar, G., Rani, P., Devaraj, C., Victoire, D.: Hybrid ant bee algorithm for fuzzy expert system based sample classification. Comput. Biol. Bioinf. IEEE\/ACM Trans. 11(2), 347\u2013360 (2014)","journal-title":"Comput. Biol. Bioinf. IEEE\/ACM Trans."},{"key":"14_CR13","first-page":"523","volume":"7895","author":"K \u0141apa","year":"2013","unstructured":"\u0141apa, K., Przyby\u0142, A., Cpa\u0142ka, K.: A new approach to designing interpretable models of dynamic systems. Lect. Notes Artif. Intell. 7895, 523\u2013534 (2013)","journal-title":"Lect. Notes Artif. Intell."},{"key":"14_CR14","unstructured":"\u0141apa, K., Zalasi\u0144ski, M., Cpa\u0142ka, K.: A new method for designing and complexity reduction of neuro-fuzzy systems for nonlinear modelling. Lect. Notes Artif. Intell. 7894, 329\u2013344 (2013)"},{"key":"14_CR15","unstructured":"Machine Learning Repository [Online]. Available from: \n                    https:\/\/archive.ics.uci.edu\/ml\/datasets.html\n                    \n                   Accessed 6 June 2015"},{"key":"14_CR16","doi-asserted-by":"crossref","unstructured":"Qu, Y., Shang, C., Shen, Q., Parthalain, M., Wei, W.N.: Kernel-based fuzzy-rough nearest neighbour classification. In: Fuzzy Systems (FUZZ), 2011 IEEE International Conference on, pp. 1523\u20131529 (2011)","DOI":"10.1109\/FUZZY.2011.6007401"},{"key":"14_CR17","doi-asserted-by":"crossref","unstructured":"Rutkowski L., 2008, Computational Intelligence, Springer","DOI":"10.1007\/978-3-540-76288-1"},{"key":"14_CR18","doi-asserted-by":"publisher","first-page":"256","DOI":"10.3390\/info3030256","volume":"3","author":"PK Shukla","year":"2012","unstructured":"Shukla, P.K., Tripathi, S.P.: A review on the interpretability-accuracy trade-off in evolutionary multi-objective fuzzy systems (EMOFS). Information 3, 256\u2013277 (2012)","journal-title":"Information"},{"key":"14_CR19","unstructured":"Zalasi\u0144ski, M., \u0141apa, K., Cpa\u0142ka, K.: New algorithm for evolutionary selection of the dynamic signature global features. Lect. Notes Artif. Int. 7895, 113\u2013121 (2013)"}],"container-title":["Advances in Intelligent Systems and Computing","Information Systems Architecture and Technology: Proceedings of 36th International Conference on Information Systems Architecture and Technology \u2013 ISAT 2015 \u2013 Part IV"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-28567-2_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,6,1]],"date-time":"2019-06-01T11:28:53Z","timestamp":1559388533000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-28567-2_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319285658","9783319285672"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-28567-2_14","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2016]]}}}