There are various methods established on time series data having linguistic values for forecasting the future values with the help of fuzzy time series forecasting. However, the major problem in fuzzy time series forecasting is the accuracy in the forecasted values. In the present paper we propose a computational method of forecasting for fuzzy time series. In the proposed method the notion of intuitionistic fuzzy set is used in fuzzy time series forecasting with simplified computational approach. The proposed method is implemented to forecast the movement of share market prices of State Bank of India (SBI) at Bombay Stock Exchange (BSE), India. © 2012 Springer India Pvt. Ltd.
CITATION STYLE
Joshi, B. P., & Kumar, S. (2012). A computational method of forecasting based on intuitionistic fuzzy sets and fuzzy time series. In Advances in Intelligent and Soft Computing (Vol. 131 AISC, pp. 993–1000). https://doi.org/10.1007/978-81-322-0491-6_91
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