{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T07:59:34Z","timestamp":1742975974389,"version":"3.40.3"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319151465"},{"type":"electronic","value":"9783319151472"}],"license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015]]},"DOI":"10.1007\/978-3-319-15147-2_4","type":"book-chapter","created":{"date-parts":[[2015,3,19]],"date-time":"2015-03-19T14:46:02Z","timestamp":1426776362000},"page":"37-48","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Application of Mini-Models to the Interval Information Granules Processing"],"prefix":"10.1007","author":[{"given":"Marcin","family":"Pluci\u0144ski","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2015,3,20]]},"reference":[{"issue":"1","key":"4_CR1","doi-asserted-by":"publisher","first-page":"1023","DOI":"10.1109\/TNN.2004.836200","volume":"16","author":"W Duch","year":"2005","unstructured":"Duch, W.: Uncertainty of data, fuzzy membership functions, and multilayer perceptrons. IEEE Trans. Neural Netw. 16(1), 1023 (2005)","journal-title":"IEEE Trans. Neural Netw."},{"key":"4_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.ins.2012.08.028","volume":"221","author":"A Gacek","year":"2013","unstructured":"Gacek, A.: Granular modelling of signals: a framework of granular computing. Inf. Sci. 221, 1\u201311 (2013)","journal-title":"Inf. Sci."},{"key":"4_CR3","doi-asserted-by":"crossref","unstructured":"Moore, R.E., Kearfott, R.B., Cloud, M.J.: Introduction to Interval Analysis. Society for Industrial and Applied Mathematics. SIAM, Philadelphia (2009)","DOI":"10.1137\/1.9780898717716"},{"key":"4_CR4","doi-asserted-by":"crossref","unstructured":"Pawlak, Z.: Rough Sets: Theoretical Aspects of Reasoning about Data. Springer (1991)","DOI":"10.1007\/978-94-011-3534-4"},{"volume-title":"Handbook of Granular Computing","year":"2008","key":"4_CR5","unstructured":"Pedrycz, W., Skowron, A., Kreinovich, V. (eds.): Handbook of Granular Computing. Wiley, Chichester (2008)"},{"key":"4_CR6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-7908-1824-6","volume-title":"Fuzzy Modeling and Control","author":"A Piegat","year":"2001","unstructured":"Piegat, A.: Fuzzy Modeling and Control. Physica Verlag, Heidelberg (2001)"},{"key":"4_CR7","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1016\/S0165-0114(97)00077-8","volume":"90","author":"LA Zadeh","year":"1997","unstructured":"Zadeh, L.A.: Towards a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic. Fuzzy Sets Syst. 90, 111\u2013117 (1997)","journal-title":"Fuzzy Sets Syst."},{"key":"4_CR8","unstructured":"Cichosz, P.: Learning Systems. WNT Publishing House, Warsaw (2000) [in Polish]"},{"key":"4_CR9","unstructured":"Hand, D., Mannila, H., Smyth, P.: Principles of Data Mining. The MIT Press (2001)"},{"key":"4_CR10","series-title":"LNCS","first-page":"414","volume-title":"ICAISC 2010","author":"M Kordos","year":"2010","unstructured":"Kordos, M., Blachnik, M., Strzempa, D.: Do we need whatever more than k-NN? In: Rutkowski, L., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2010. LNCS, vol. 6113, pp. 414\u2013421. Springer, Heidelberg (2010)"},{"key":"4_CR11","unstructured":"Moore, A.W., Atkeson, C.G., Schaal, S.A.: Memory-based learning for control. Technical Report CMU-RI-TR-95-18, Carnegie-Mellon University, Robotics Institute (1995)"},{"key":"4_CR12","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1023\/A:1006559212014","volume":"11","author":"CG Atkeson","year":"1997","unstructured":"Atkeson, C.G., Moore, A.W., Schaal, S.A.: Locally weighted learning. Artif. Intell. Rev. 11, 11\u201373 (1997)","journal-title":"Artif. Intell. Rev."},{"key":"4_CR13","volume-title":"Advanced Methods in Neural Computing","author":"PD Wasserman","year":"1993","unstructured":"Wasserman, P.D.: Advanced Methods in Neural Computing. Van Nostrand Reinhold, New York (1993)"},{"issue":"6","key":"4_CR14","doi-asserted-by":"publisher","first-page":"1261","DOI":"10.1109\/72.809073","volume":"10","author":"WA Wright","year":"1999","unstructured":"Wright, W.A.: Bayesian approach to neural network modeling with input uncertainty. IEEE Trans. Neural Netw. 10(6), 1261\u20131270 (1999)","journal-title":"IEEE Trans. Neural Netw."},{"key":"4_CR15","unstructured":"Piegat, A., W\u0105sikowska, B., Korze\u0144, M.: Application of the self-learning, 3-point mini-model for modeling of unemployment rate in Poland. Studia Informatica, University of Szczecin (2010) [in Polish]"},{"key":"4_CR16","unstructured":"Piegat, A., W\u0105sikowska, B., Korze\u0144, M.: Differences between the method of mini-models and the $$k$$-nearest neighbors on example of modeling of unemployment rate in Poland. In: Proceedings of 9th Conference on Information Systems in Management, pp. 34\u201343. WULS Press, Warsaw (2011)"},{"key":"4_CR17","series-title":"LNCS,","first-page":"160","volume-title":"ICAISC 2012, Part II","author":"M Pluci\u0144ski","year":"2012","unstructured":"Pluci\u0144ski, M.: Mini-models\u2014local regression models for the function approximation learning. In: Rutkowski, L., et al. (eds.) ICAISC 2012, Part II. LNCS, pp. 160\u2013167. Springer, Heidelberg (2012)"},{"key":"4_CR18","doi-asserted-by":"crossref","unstructured":"Pluci\u0144ski, M.: Evaluation of the mini-models robustness to data uncertainty with the application of the information-gap theory. In: Rutkowski, L., et al. (eds.) ICAISC 2013, Part II. LNAI, pp. 230\u2013241. Springer, Heidelberg (2013)","DOI":"10.1007\/978-3-642-38610-7_22"},{"key":"4_CR19","doi-asserted-by":"crossref","unstructured":"Rump, S.M.: INTLAB\u2014INTerval LABoratory. Developements in Reliable Computing, pp. 77\u2013104. Kluwer Academic Publishing, Dordrecht (1999)","DOI":"10.1007\/978-94-017-1247-7_7"}],"container-title":["Advances in Intelligent Systems and Computing","Soft Computing in Computer and Information Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-15147-2_4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,24]],"date-time":"2023-01-24T12:38:14Z","timestamp":1674563894000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-15147-2_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"ISBN":["9783319151465","9783319151472"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-15147-2_4","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2015]]},"assertion":[{"value":"20 March 2015","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}