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Fuzzy Time Series Model Based on Intuitionistic Fuzzy Sets for Empirical Research in Stock Market

Bhagawati P. Joshi, Sanjay Kumar

Source Title: International Journal of Applied Evolutionary Computation (IJAEC)3(4)

ISSN: 1942-3594|EISSN: 1942-3608|EISBN13: 9781466610743|DOI: 10.4018/jaec.2012100105

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MLA

Joshi, Bhagawati P., and Sanjay Kumar. "Fuzzy Time Series Model Based on Intuitionistic Fuzzy Sets for Empirical Research in Stock Market." IJAEC vol.3, no.4 2012: pp.71-84. http://doi.org/10.4018/jaec.2012100105

APA

Joshi, B. P. & Kumar, S. (2012). Fuzzy Time Series Model Based on Intuitionistic Fuzzy Sets for Empirical Research in Stock Market. International Journal of Applied Evolutionary Computation (IJAEC), 3(4), 71-84. http://doi.org/10.4018/jaec.2012100105

Chicago

Joshi, Bhagawati P., and Sanjay Kumar. "Fuzzy Time Series Model Based on Intuitionistic Fuzzy Sets for Empirical Research in Stock Market," International Journal of Applied Evolutionary Computation (IJAEC) 3, no.4: 71-84. http://doi.org/10.4018/jaec.2012100105

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Abstract

Intuitionistic fuzzy sets introduced by Atanassov are generalization of fuzzy sets as they also handle the non-determinacy which is caused by degree of hesitation of decision maker. The present study proposes 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 developed model has been tested on the movement of share market prices of State Bank of India (SBI) at Bombay Stock Exchange (BSE), India. Further the method has been implemented for forecasting SENSEX of BSE. The suitability of the developed model has also been examined by comparing it with the other existing models to show its superiority.

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Fuzzy Time Series Model Based on Intuitionistic Fuzzy Sets for Empirical Research in Stock Market

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