Fuzzification of Newton’s Forward Interpolation Method and Exploring its Application in Stock Market

Abstract

Numerical methods always give approximate results. On the other hand fuzzification of any number gives a result which falls within a range and it enhances the level of accuracy and therefore in this paper an attempt has made to fuzzify Newton’s Forward Interpolation Formula a0nd also developed computer programs for the Classical and the Fuzzified Newton’s Forward Interpolation Formula. The results of Fuzzified Newton’s Forward Interpolation Formula and Classical Newton’s Forward Interpolation Formula have been compared. Fifteen examples are taken under consideration for comparison. It has been seen that the methods provide more or less same results in classical and fuzzified form. The application of Interpolation method in the field of stock market is also discussed in this paper.