{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,4]],"date-time":"2026-08-04T20:38:02Z","timestamp":1785875882102,"version":"3.56.0"},"reference-count":28,"publisher":"Springer Science and Business Media LLC","issue":"14","license":[{"start":{"date-parts":[[2022,1,24]],"date-time":"2022-01-24T00:00:00Z","timestamp":1642982400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,24]],"date-time":"2022-01-24T00:00:00Z","timestamp":1642982400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Soft Comput"],"published-print":{"date-parts":[[2022,7]]},"DOI":"10.1007\/s00500-021-06648-7","type":"journal-article","created":{"date-parts":[[2022,1,23]],"date-time":"2022-01-23T19:05:01Z","timestamp":1642964701000},"page":"6941-6952","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["Fuzzy transfer learning in time series forecasting for stock market prices"],"prefix":"10.1007","volume":"26","author":[{"given":"Shanoli Samui","family":"Pal","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Samarjit","family":"Kar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,1,24]]},"reference":[{"key":"6648_CR1","unstructured":"Blitzer J, Dredze M, Pereira F (2007) Biographies, bollywood, boom-boxes and bleders: domain adaptation for sentiment classification. In: Proceedings of the 45th annual meeting of the association for computational linguistics, pp 432\u2013439"},{"key":"6648_CR2","doi-asserted-by":"publisher","first-page":"307","DOI":"10.1016\/0304-4076(86)90063-1","volume":"31","author":"T Bollerslev","year":"1986","unstructured":"Bollerslev T (1986) Generalized autoregressive conditional heteroscedasticity. J Econ 31:307\u2013327","journal-title":"J Econ"},{"key":"6648_CR3","volume-title":"Time series analysis: forecasting and control","author":"G Box","year":"1976","unstructured":"Box G, Jenkins G (1976) Time series analysis: forecasting and control, 2nd edn. Holden-Day, San Francisco","edition":"2"},{"key":"6648_CR4","unstructured":"BSE data set. https:\/\/in.finance.yahoo.com\/q\/hp?s=BSESN"},{"key":"6648_CR5","doi-asserted-by":"publisher","first-page":"1155","DOI":"10.1016\/j.procs.2013.05.281","volume":"18","author":"Q Caia","year":"2013","unstructured":"Caia Q, Zhanga D, Wua B, Leung SCH (2013) A novel stock forecasting model based on fuzzy time series and genetic algorithm. Proc Comput Sci 18:1155\u20131162","journal-title":"Proc Comput Sci"},{"issue":"3","key":"6648_CR6","doi-asserted-by":"publisher","first-page":"311","DOI":"10.1016\/0165-0114(95)00220-0","volume":"81","author":"S-M Chen","year":"1996","unstructured":"Chen S-M (1996) Forecasting enrollments based on fuzzy time series. Fuzzy Sets Syst 81(3):311\u2013319","journal-title":"Fuzzy Sets Syst"},{"issue":"2","key":"6648_CR7","doi-asserted-by":"publisher","first-page":"1826","DOI":"10.1016\/j.eswa.2007.12.041","volume":"36","author":"C-H Cheng","year":"2009","unstructured":"Cheng C-H, Chen Y-S, Wu Y-L (2009) Forecasting innovation diffusion of products using trend-weighted fuzzy time-series model. Expert Syst Appl 36(2):1826\u20131832","journal-title":"Expert Syst Appl"},{"key":"6648_CR8","doi-asserted-by":"publisher","first-page":"987","DOI":"10.2307\/1912773","volume":"50","author":"RF Engle","year":"1982","unstructured":"Engle RF (1982) Autoregressive conditional heteroscedasticity with estimator of the variance of United Kingdom inflation. Econometrica 50:987\u20131008","journal-title":"Econometrica"},{"key":"6648_CR9","doi-asserted-by":"publisher","first-page":"349","DOI":"10.1080\/01969722.2014.904135","volume":"45","author":"SS Gangwar","year":"2014","unstructured":"Gangwar SS, Kumar S (2014) Probabilistic and intuitionistic fuzzy sets-based method for fuzzy time series forecasting. Cybern Syst Int J 45:349\u2013361","journal-title":"Cybern Syst Int J"},{"key":"6648_CR10","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1016\/0169-2070(92)90003-R","volume":"8","author":"CWJ Granger","year":"1992","unstructured":"Granger CWJ (1992) Forecasting stock market prices: lessons for forecasters. Int J Forecast 8:3\u201313","journal-title":"Int J Forecast"},{"key":"6648_CR11","doi-asserted-by":"publisher","first-page":"481","DOI":"10.1016\/j.physa.2005.08.014","volume":"363","author":"K Hurang","year":"2006","unstructured":"Hurang K, Yu HK (2006) The application of neural networks to forecast fuzzy time series. Phys A 363:481\u2013491","journal-title":"Phys A"},{"key":"6648_CR12","doi-asserted-by":"publisher","first-page":"34","DOI":"10.1080\/01969722.2012.637014","volume":"43","author":"BP Joshi","year":"2012","unstructured":"Joshi BP, Kumar S (2012) Intuitionistic fuzzy sets based method for fuzzy time series forecasting. Cybern Syst Int J 43:34\u201347","journal-title":"Cybern Syst Int J"},{"key":"6648_CR13","doi-asserted-by":"crossref","unstructured":"Kuhlmann G, Stone P (2007) Graph-based domain mapping for transfer learning in general games. In: Proceedings 18th European conference machine learning, pp 188\u2013200","DOI":"10.1007\/978-3-540-74958-5_20"},{"key":"6648_CR14","doi-asserted-by":"publisher","first-page":"361","DOI":"10.1016\/S0167-9236(01)00121-X","volume":"32","author":"W Leigh","year":"2002","unstructured":"Leigh W, Purvis R, Ragusa JM (2002) Forecasting the NYSE composite index with technical analysis, pattern recognizer, neural network, and genetic algorithm: a case study in romantic decision support. Decis Support Syst 32:361\u2013377","journal-title":"Decis Support Syst"},{"key":"6648_CR15","unstructured":"Lin Y, Yang Y (2009) Stock markets forecasting based on fuzzy time series model. In: IEEE international conference intelligent computing and intelligent systems, pp 782\u2013786"},{"key":"6648_CR16","doi-asserted-by":"crossref","unstructured":"Li B, Yang Q, Xue X (2009) Transfer learning for collaborative filtering via a rating-matrix generative model. In: Proceedings 26th international conference machine learning","DOI":"10.1145\/1553374.1553454"},{"key":"6648_CR17","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1016\/j.knosys.2015.01.010","volume":"80","author":"J Lu","year":"2015","unstructured":"Lu J, Behbood V, Hao P, Zuo H, Xue S, Zhang G (2015) Transfer learning using computational intelligence: a survey. Knowl Based Syst 80:14\u201323","journal-title":"Knowl Based Syst"},{"key":"6648_CR18","doi-asserted-by":"publisher","first-page":"245","DOI":"10.1111\/j.1468-0394.1994.tb00332.x","volume":"11","author":"C Nikolopoulos","year":"1994","unstructured":"Nikolopoulos C, Fellrath P (1994) A hybrid expert system for investment advising. Expert Syst 11:245\u2013250","journal-title":"Expert Syst"},{"key":"6648_CR19","unstructured":"NYSE data set. http:\/\/finance.yahoo.com\/q\/hp?s=^NYA+Historical+Prices"},{"key":"6648_CR20","doi-asserted-by":"publisher","first-page":"497","DOI":"10.1016\/j.omega.2004.07.024","volume":"33","author":"PF Pai","year":"2005","unstructured":"Pai PF, Lin CS (2005) A hybrid ARIMA and support vector machines model in stock price forecasting. Omega 33:497\u2013505","journal-title":"Omega"},{"key":"6648_CR21","doi-asserted-by":"publisher","first-page":"1345","DOI":"10.1109\/TKDE.2009.191","volume":"22","author":"S Pan","year":"2009","unstructured":"Pan S, Yang Q (2009) A survey on transfer learning. IEEE Trans Knowl Data Eng 22:1345\u20131359","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"6648_CR22","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1016\/j.ins.2014.09.004","volume":"293","author":"J Shell","year":"2015","unstructured":"Shell J, Coupland S (2015) Fuzzy transfer learning: methodology and application. Inf Sci 293:59\u201379","journal-title":"Inf Sci"},{"key":"6648_CR23","unstructured":"TAIEX data set. http:\/\/finance.yahoo.com\/q\/hp?s=^TWII+Historical+Prices"},{"key":"6648_CR24","doi-asserted-by":"publisher","first-page":"7888","DOI":"10.1016\/j.eswa.2008.11.009","volume":"36","author":"HJ Teoh","year":"2009","unstructured":"Teoh HJ, Chen TL, Cheng CH, Chu HH (2009) A hybrid multi-order fuzzy time series for forecasting stock markets. Expert Syst Appl 36:7888\u20137897","journal-title":"Expert Syst Appl"},{"key":"6648_CR25","unstructured":"Torrey L, Shavlik J (2009) Transfer learning. In: Handbook of research on machine learning applications, vol 3. IGI Global 3, pp 17\u201335"},{"key":"6648_CR26","doi-asserted-by":"publisher","first-page":"1414","DOI":"10.1109\/21.199466","volume":"22","author":"LX Wang","year":"1992","unstructured":"Wang LX, Mendel JM (1992) Generating fuzzy rules by learning from examples. IEEE Trans Syst Man Cybern 22:1414\u20131427","journal-title":"IEEE Trans Syst Man Cybern"},{"key":"6648_CR27","doi-asserted-by":"crossref","unstructured":"Wu P, Dietterich TG (2004) Improving SVM accuracy by training on auxiliary data sources. In: Proceedings 21st international conference machine learning, p 110","DOI":"10.1145\/1015330.1015436"},{"key":"6648_CR28","doi-asserted-by":"publisher","first-page":"3319","DOI":"10.3390\/e17053319","volume":"17","author":"R Zhou","year":"2015","unstructured":"Zhou R, Zhan Y, Cai R, Tong G (2015) A mean-variance hybrid-entropy model for portfolio selection with fuzzy returns. Entropy 17:3319\u20133331","journal-title":"Entropy"}],"container-title":["Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-021-06648-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00500-021-06648-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-021-06648-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,17]],"date-time":"2022-06-17T08:21:14Z","timestamp":1655454074000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00500-021-06648-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1,24]]},"references-count":28,"journal-issue":{"issue":"14","published-print":{"date-parts":[[2022,7]]}},"alternative-id":["6648"],"URL":"https:\/\/doi.org\/10.1007\/s00500-021-06648-7","relation":{"has-preprint":[{"id-type":"doi","id":"10.21203\/rs.3.rs-1015226\/v1","asserted-by":"object"}]},"ISSN":["1432-7643","1433-7479"],"issn-type":[{"value":"1432-7643","type":"print"},{"value":"1433-7479","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,1,24]]},"assertion":[{"value":"2 December 2021","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 January 2022","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that there is no conflict of interest regarding the publication of this paper.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}