{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T20:35:03Z","timestamp":1761597303614},"reference-count":32,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2011,10,13]],"date-time":"2011-10-13T00:00:00Z","timestamp":1318464000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Soft Comput"],"published-print":{"date-parts":[[2012,5]]},"DOI":"10.1007\/s00500-011-0769-1","type":"journal-article","created":{"date-parts":[[2011,10,12]],"date-time":"2011-10-12T11:55:24Z","timestamp":1318420524000},"page":"785-795","source":"Crossref","is-referenced-by-count":20,"title":["A fuzzy regression model based on distances and random variables with crisp input and fuzzy output data: a case study in biomass production"],"prefix":"10.1007","volume":"16","author":[{"given":"C.","family":"Rold\u00e1n","sequence":"first","affiliation":[]},{"given":"A.","family":"Rold\u00e1n","sequence":"additional","affiliation":[]},{"given":"J.","family":"Mart\u00ednez-Moreno","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2011,10,13]]},"reference":[{"key":"769_CR1","doi-asserted-by":"crossref","first-page":"309","DOI":"10.1016\/S0260-8774(02)00106-1","volume":"55","author":"R Aguilar","year":"2002","unstructured":"Aguilar R, Ram\u00edrez JA, Garrote G, Vazquez M (2002) Kinetic study of the acid hydrolysis of sugar cane bagasse. J Food Eng 55:309\u2013318","journal-title":"J Food Eng"},{"key":"769_CR2","doi-asserted-by":"crossref","first-page":"1175","DOI":"10.1007\/s00170-004-2466-z","volume":"28","author":"Y Chen","year":"2006","unstructured":"Chen Y, Chen L (2006) A non-linear possibilistic regression approach to model functional relationships in product manning. Int J Adv Manuf Technol 28:1175\u20131181","journal-title":"Int J Adv Manuf Technol"},{"issue":"6","key":"769_CR3","doi-asserted-by":"crossref","first-page":"1259","DOI":"10.1109\/TFUZZ.2009.2026891","volume":"17","author":"LH Chen","year":"2009","unstructured":"Chen LH, Hsueh CC (2009) Fuzzy regression models using the least-squares method based on the concept of distance. IEEE Trans Fuzzy Syst 17(6):1259\u20131272","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"1","key":"769_CR4","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/TFUZZ.2003.817839","volume":"12","author":"JH Chiang","year":"2004","unstructured":"Chiang JH, Hao PY (2004) Support vector learning mechanism for fuzzy rule-based modeling: a new approach. IEEE Trans Fuzzy Syst 12(1):1\u201311","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"769_CR8","doi-asserted-by":"crossref","first-page":"344","DOI":"10.1016\/j.fss.2007.12.019","volume":"160","author":"A Colubi","year":"2009","unstructured":"Colubi A (2009) Statistical inference about the means of fuzzy random variables: applications to the analysis of fuzzy- and real-valued data. Fuzzy Sets Syst 160:344\u2013356","journal-title":"Fuzzy Sets Syst"},{"key":"769_CR5","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1016\/j.csda.2006.04.036","volume":"51","author":"R Coppi","year":"2006","unstructured":"Coppi R, D\u2019Urso P, Giordani P, Santoro A (2006) Least squares estimation of a linear regression model with LR fuzzy response. Comput Stat Data Anal 51:267\u2013286","journal-title":"Comput Stat Data Anal"},{"key":"769_CR9","doi-asserted-by":"crossref","first-page":"237","DOI":"10.1016\/j.fss.2007.09.004","volume":"159","author":"I Couso","year":"2007","unstructured":"Couso I, S\u00e1nchez L (2007) Higer order models for fuzzy random variables. Fuzzy Sets Syst 159:237\u2013258","journal-title":"Fuzzy Sets Syst"},{"key":"769_CR6","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1016\/0020-0255(88)90047-3","volume":"46","author":"P Diamond","year":"1988","unstructured":"Diamond P (1988) Fuzzy least squares. Inf Sci 46:141\u2013157","journal-title":"Inf Sci"},{"key":"769_CR7","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-540-85027-4","volume-title":"Soft methods for handling variability and imprecision. Advances in soft computing","author":"D Dubois","year":"2008","unstructured":"Dubois D, Lubiano MA, Prade H, Gil MA, Grzegorzewski P, Hryniewicz O (2008) Soft methods for handling variability and imprecision. Advances in soft computing. Springer, Berlin"},{"key":"769_CR10","doi-asserted-by":"crossref","first-page":"759","DOI":"10.1016\/j.ijar.2010.04.003","volume":"51","author":"MB Ferraro","year":"2010","unstructured":"Ferraro MB, Coppi R, Gonz\u00e1lez-Rodr\u00edguez G, Colubi A (2010) A linear regression model for imprecise response. Int J Approx Reason 51:759\u2013770","journal-title":"Int J Approx Reason"},{"key":"769_CR11","doi-asserted-by":"crossref","first-page":"357","DOI":"10.1016\/j.fss.2008.07.007","volume":"160","author":"G Gonz\u00e1lez-Rodr\u00edguez","year":"2009","unstructured":"Gonz\u00e1lez-Rodr\u00edguez G, Blanco A, Colubi A, Lubiano MA (2009) Estimation of a simple linear regression model for fuzzy random variables. Fuzzy Sets Syst 160:357\u2013370","journal-title":"Fuzzy Sets Syst"},{"key":"769_CR12","doi-asserted-by":"crossref","first-page":"172","DOI":"10.1016\/j.ejor.2004.01.039","volume":"166","author":"M Hojati","year":"2005","unstructured":"Hojati M, Bector CR, Smimou K (2005) A simple method for computation of fuzzy linear regression. Eur J Oper Res 166:172\u2013184","journal-title":"Eur J Oper Res"},{"key":"769_CR13","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1016\/S0165-0114(02)00514-6","volume":"138","author":"DH Hong","year":"2002","unstructured":"Hong DH, Hwang C (2002) Support vector fuzzy regression machines. Fuzzy Sets Syst 138:271\u2013281","journal-title":"Fuzzy Sets Syst"},{"key":"769_CR14","doi-asserted-by":"crossref","first-page":"2486","DOI":"10.1016\/j.fss.2008.11.022","volume":"160","author":"CF Juang","year":"2009","unstructured":"Juang CF, Hsieh CD (2009) TS-fuzzy system-based support vector regression. Fuzzy Sets Syst 160:2486\u20132504","journal-title":"Fuzzy Sets Syst"},{"key":"769_CR15","doi-asserted-by":"crossref","first-page":"426","DOI":"10.1016\/S0377-2217(02)00423-X","volume":"148","author":"C Kao","year":"2003","unstructured":"Kao C, Chyu CL (2003) Least-squares estimates in fuzzy regression analysis. Eur J Oper Res 148:426\u2013435","journal-title":"Eur J Oper Res"},{"key":"769_CR16","doi-asserted-by":"crossref","unstructured":"Khemchandani R, Jayadeva, Chandra S (2009) Regularized least squares fuzzy support vector regression for financial time series forecasting. Expert Syst Appl 36:132\u2013138","DOI":"10.1016\/j.eswa.2007.09.035"},{"key":"769_CR17","doi-asserted-by":"crossref","first-page":"343","DOI":"10.1016\/S0165-0114(97)00100-0","volume":"100","author":"B Kim","year":"1998","unstructured":"Kim B, Bishu RR (1998) Evaluation of fuzzy linear regression models by comparing membership functions. Fuzzy Sets Syst 100:343\u2013352","journal-title":"Fuzzy Sets Syst"},{"key":"769_CR18","doi-asserted-by":"crossref","first-page":"1044","DOI":"10.1016\/j.jmva.2005.12.005","volume":"97","author":"V Kr\u00e4tschmer","year":"2006","unstructured":"Kr\u00e4tschmer V (2006) Limit distribution of least squares estimators in linear regression models with vague concepts. J Multivariate Anal 97:1044\u20131069","journal-title":"J Multivariate Anal"},{"key":"769_CR19","doi-asserted-by":"crossref","first-page":"873","DOI":"10.1016\/j.amc.2003.07.031","volume":"155","author":"MM Nasrabadi","year":"2004","unstructured":"Nasrabadi MM, Nasrabadi E (2004) A mathematical-programming approach to fuzzy linear regression analysis. Appl Math Comput. 155:873\u2013881","journal-title":"Appl Math Comput"},{"key":"769_CR20","doi-asserted-by":"crossref","first-page":"235","DOI":"10.1016\/j.csda.2006.02.021","volume":"51","author":"W N\u00e4ther","year":"2006","unstructured":"N\u00e4ther W (2006) Regression with fuzzy random data. Comput Stat Data Anal 51:235\u2013252","journal-title":"Comput Stat Data Anal"},{"key":"769_CR23","doi-asserted-by":"crossref","first-page":"993","DOI":"10.1016\/j.ijar.2010.07.008","volume":"51","author":"AM Palacios","year":"2010","unstructured":"Palacios AM, S\u00e1nchez L, Couso I (2010) Diagnosis of dyslexia with low quality data with genetic fuzzy systems. Int J Approx Reason 51:993\u20131009","journal-title":"Int J Approx Reason"},{"key":"769_CR21","doi-asserted-by":"crossref","first-page":"409","DOI":"10.1016\/0022-247X(86)90093-4","volume":"114","author":"ML Puri","year":"1986","unstructured":"Puri ML, Ralescu DA (1986) Fuzzy random variables. J Math Anal Appl 114:409\u2013422","journal-title":"J Math Anal Appl"},{"key":"769_CR22","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1021\/ie50421a009","volume":"37","author":"JF Saeman","year":"1945","unstructured":"Saeman JF (1945) Kinetics of wood saccharification. Hydrolysis of cellulose and decomposition of sugars in dilute acid at high temperature. Ind Eng Chem 37: 43\u201352","journal-title":"Ind Eng Chem"},{"key":"769_CR24","doi-asserted-by":"crossref","first-page":"2524","DOI":"10.1016\/j.fss.2009.03.004","volume":"160","author":"L S\u00e1nchez","year":"2009","unstructured":"S\u00e1nchez L, Couso I, Casillas J (2009) Genetic learning of fuzzy rules based on low quality data. Fuzzy Sets Syst 160:2524\u20132552","journal-title":"Fuzzy Sets Syst"},{"key":"769_CR25","volume-title":"Probabilistic metric spaces","author":"B Schweizer","year":"2005","unstructured":"Schweizer B, Sklar A (2005) Probabilistic metric spaces. Dover Publications, New York"},{"key":"769_CR26","unstructured":"Serrunier M, Prade H (2006) Imprecise regression and regression on fuzzy data. A preliminary discussion. IEEE International Conference on Fuzzy Systems. Vancouver, Canada, pp 1506\u20131511"},{"key":"769_CR27","doi-asserted-by":"crossref","first-page":"903","DOI":"10.1109\/TSMC.1982.4308925","volume":"12","author":"H Tanaka","year":"1982","unstructured":"Tanaka H, Hayashi I, Watada J (1982) Linear regression analysis with fuzzy model. IEEE Trans Syst Man Cybern SMC 12:903\u2013907","journal-title":"IEEE Trans Syst Man Cybern SMC"},{"key":"769_CR28","doi-asserted-by":"crossref","first-page":"389","DOI":"10.1016\/0377-2217(89)90431-1","volume":"40","author":"H Tanaka","year":"1989","unstructured":"Tanaka H, Hayashi I, Watada J (1989) Possibilistic linear regression analysis for fuzzy data. Eur J Oper Res 40: 389-396","journal-title":"Eur J Oper Res"},{"key":"769_CR29","unstructured":"Vapnik V (1998) Statistical learning theory. Wiley, New York"},{"key":"769_CR30","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1016\/S0165-0114(01)00175-0","volume":"130","author":"B Wu","year":"2002","unstructured":"Wu B, Tseng NF (2002) A new approach to fuzzy regression models with application to business cycle analysis. Fuzzy Sets Syst 130:33\u201342","journal-title":"Fuzzy Sets Syst"},{"key":"769_CR31","doi-asserted-by":"crossref","first-page":"2659","DOI":"10.1016\/j.neucom.2008.09.014","volume":"72","author":"H Yang","year":"2009","unstructured":"Yang H, Huang K, King I, Lyu MR (2009) Localized support vector regression for time series prediction. Neurocomputing 72:2659\u20132669","journal-title":"Neurocomputing"},{"key":"769_CR32","doi-asserted-by":"crossref","first-page":"338","DOI":"10.1016\/S0019-9958(65)90241-X","volume":"8","author":"LA Zadeh","year":"1965","unstructured":"Zadeh LA (1965) Fuzzy sets. Inf Control 8:338\u2013353","journal-title":"Inform Control"}],"container-title":["Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-011-0769-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00500-011-0769-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-011-0769-1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,6,17]],"date-time":"2019-06-17T10:38:16Z","timestamp":1560767896000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00500-011-0769-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011,10,13]]},"references-count":32,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2012,5]]}},"alternative-id":["769"],"URL":"https:\/\/doi.org\/10.1007\/s00500-011-0769-1","relation":{},"ISSN":["1432-7643","1433-7479"],"issn-type":[{"value":"1432-7643","type":"print"},{"value":"1433-7479","type":"electronic"}],"subject":[],"published":{"date-parts":[[2011,10,13]]}}}