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Fuzzified Choquet integral is used to build a regression model for forecasting time series with multiple attributes as predictor attributes. Linear regression based forecasting models are suffering from low accuracy and unable to approximate the non-linearity in time series. Whereas Choquet integral can be used as a general non-linear regression model with respect to non classical measures. In the Choquet integral based regression model parameters are optimized by using a real coded genetic algorithm (GA). In these forecasting models, fuzzified integrands denote the participation of an individual attribute or a group of attributes to predict the current situation. Here, more generalized Choquet integral,<jats:italic>i.e.<\/jats:italic>, fuzzified Choquet integral is used in case of non-linear time series forecasting models. Three different real stock exchange data are used to predict the time series forecasting model. It is observed that the accuracy of prediction models highly depends on the non-linearity of the time series.<\/jats:p>","DOI":"10.1051\/ro\/2019117","type":"journal-article","created":{"date-parts":[[2019,12,18]],"date-time":"2019-12-18T09:22:26Z","timestamp":1576660946000},"page":"597-614","source":"Crossref","is-referenced-by-count":3,"title":["Forecasting stock market price by using fuzzified Choquet integral based fuzzy measures with genetic algorithm for parameter optimization"],"prefix":"10.1051","volume":"54","author":[{"given":"Shanoli Samui","family":"Pal","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Samarjit","family":"Kar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"250","published-online":{"date-parts":[[2020,3,5]]},"reference":[{"key":"R1","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1016\/S0165-0114(86)80034-3","volume":"20","author":"Atanassov","year":"1986","journal-title":"Fuzzy Sets Syst."},{"key":"R2","doi-asserted-by":"crossref","first-page":"307","DOI":"10.1080\/16168658.2019.1631557","volume":"10","author":"Bisht","year":"2018","journal-title":"Fuzzy Inf. 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Fuzzy Syst."},{"key":"R19","first-page":"218","volume":"26","author":"Lahmiri","year":"2014","journal-title":"J. King Saud Univ. \u2013 Comput. Inf. Sci."},{"key":"R20","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1016\/j.jocs.2015.11.011","volume":"12","author":"Lahmiri","year":"2016","journal-title":"J. Comput. Sci."},{"key":"R21","doi-asserted-by":"crossref","first-page":"268","DOI":"10.1016\/j.eswa.2016.02.025","volume":"55","author":"Lahmiri","year":"2016","journal-title":"Expert Syst.: App. Int. J."},{"key":"R22","doi-asserted-by":"crossref","first-page":"1850007","DOI":"10.1142\/S0219477518500074","volume":"17","author":"Lahmiri","year":"2018","journal-title":"Fluct. Noise Lett."},{"key":"R23","doi-asserted-by":"crossref","first-page":"444","DOI":"10.1016\/j.amc.2017.09.049","volume":"320","author":"Lahmiri","year":"2018","journal-title":"Appl. Math. 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Fuzzy Syst."},{"key":"R33","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1016\/j.matcom.2019.01.001","volume":"162","author":"Pal","year":"2019","journal-title":"Math. Comput. Simul."},{"key":"R34","unstructured":"Sugeno M., Theory of fuzzy integrals and its applications. Ph.D. thesisTokyo Institute of Technology (1974)."},{"key":"R35","unstructured":"TAIEX data set. Available at: http:\/\/finance.yahoo.com\/q\/hp?s=T\u0302WII+Historical+Prices."},{"key":"R36","doi-asserted-by":"crossref","first-page":"7888","DOI":"10.1016\/j.eswa.2008.11.009","volume":"36","author":"Teoh","year":"2009","journal-title":"Expert Syst. App."},{"key":"R37","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1016\/S0888-613X(00)00048-7","volume":"25","author":"Wang","year":"2000","journal-title":"Int. J. Approximate Reasoning"},{"key":"R38","first-page":"5035160","volume":"2016","author":"Wang","year":"2016","journal-title":"Math. Prob. 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