Page 226 - Contributed Paper Session (CPS) - Volume 3

CPS1999 Pranesh K. et al.
4. Discussion and Conclusion
In this paper, we have compared the fuzzy regression model with ordinary
least squares method. To illustrate the fuzzy regression model, we have
adapted the data of global sea ice extent and ocean heat content from 1979
to 2015. We have calculated the upper and the lower bounds of global sea ice
extent and carried error analysis which clearly indicates the comparative
performance of two fitting methods with possible edge of the fuzzy regression
over the ordinary least squares regression. Besides, the width of predicted
intervals of fuzzy regression model is much smaller than that of ordinary least
squares model, which indicates the superiority of fuzzy regression
methodology.

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