• Revinder pawar

In this paper investigates the predictive performance of fuzzy time series method for wheat production data set. Fuzzy time series deals with forecasting under the fuzzy environment that contains uncertainty, am- biguity, vagueness and imprecision of the data set. It is a time invariant method for modeling rather than classical method. There is no prerequisite like stationarity and normality. The aim of present work is to design and implement the competent of fuzzy time series model for forecasting of wheat production data set. The accuracy of the forecasting result is compared based on some residual methods.

sustainability, nitrogen, Mamdani, fuzzy system.

"ANALYSIS AND DESIGN OF FUZZY MODEL FOR WHEAT PRODUCTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 6, page no.37-47, June-2018, Available :http://www.jetir.org/papers/JETIR1806704.pdf

"ANALYSIS AND DESIGN OF FUZZY MODEL FOR WHEAT PRODUCTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 6, page no. pp37-47, June-2018, Available at : http://www.jetir.org/papers/JETIR1806704.pdf