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Reseach Article

Fuzzy Time Series based method for Wheat production Forecasting

by Sachin Kumar, Narendra Kumar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 44 - Number 12
Year of Publication: 2012
Authors: Sachin Kumar, Narendra Kumar
10.5120/6313-8651

Sachin Kumar, Narendra Kumar . Fuzzy Time Series based method for Wheat production Forecasting. International Journal of Computer Applications. 44, 12 ( April 2012), 5-10. DOI=10.5120/6313-8651

@article{ 10.5120/6313-8651,
author = { Sachin Kumar, Narendra Kumar },
title = { Fuzzy Time Series based method for Wheat production Forecasting },
journal = { International Journal of Computer Applications },
issue_date = { April 2012 },
volume = { 44 },
number = { 12 },
month = { April },
year = { 2012 },
issn = { 0975-8887 },
pages = { 5-10 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume44/number12/6313-8651/ },
doi = { 10.5120/6313-8651 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:35:19.938530+05:30
%A Sachin Kumar
%A Narendra Kumar
%T Fuzzy Time Series based method for Wheat production Forecasting
%J International Journal of Computer Applications
%@ 0975-8887
%V 44
%N 12
%P 5-10
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Present study provides some modified techniques for time series based forecasting for the yield of any crop year. Our study can help in inventory management of wheat yield and for management of storage space. We are using the data of previous years and proposing a new method by using the fuzzy time series forecasting technique

References
  1. A unified approach to c-Means clustering models. Laszlo Szilagyi, Sandor M. Szilagyi and Zoltan Benyo.
  2. .
  3. Traffic Pattern Forecasting using time series analysis between spatially adjacent clusters. Li Liu, Mohammad Khalilia, Huchun Tan, Peng Zhuang.
  4. .
  5. Research on IT Resources Fuzzy c-Mean Clustering based on Resource based View. Yuntao YANG, Runxiao WANG, Junting LI,
  6. .
  7. Fractal Based Digital Image Watermarking using Fuzzy c-Mean Clustering. Soheila Kiani, Mohsen Ebrahimi Moghaddam.
  8. .
  9. Search for Additive Nonlinear Time Series Casual Models. Tianjiao Chu, Clark Glymour.
  10. .
  11. Adaptive Time- Variant models for Fuzzy Time Series forecasting. Wai-Keung Wong, Enjian Bai and Alice Wai-Ching Chu.
  12. .
  13. Applying Time Series Regression to load Forecasting Using Neuro Fuzzy Techniques. M. Ghanbarian, F. Kavehnia, M. R. Askari, A. Mohammadi, H. Keivani
  14. .
  15. Handling Forecasting Problems Based on Two- Factors High-Order Fuzzy Time Series, Li-Wei Lee, Li-Hui Wang & Shyi-Ming Chen
  16. .
Index Terms

Computer Science
Information Sciences

Keywords

Fuzzy Time Series Crop Yield Forecasting Higher Order Time Series Time Series Crisp Value