Wheat is the main growing cereal crop in India. For the country, designing, estimating productivity is the important tool for predicting the production of wheat to determine the circumstances that would be the value of production upcoming year. Fuzzy time series deals with the problems associated with unpredictability ambiguousness and cloudiness. In this study enlargement of fuzzy time series variant model is used in forecasting wheat production. The data of previous years from 2000 to 2021 was taken for analysis and the proposed method on fuzzy time series estimates future events’ precision rate. The suggested method used the percentage change as the Universe of Discourse and Average-based Partitioning.

1.
Box
,
G.E.P.
and
Jenkins
,
G.M.
,: Time series analysis: Forecasting and control, Holden-Day,
San Francisco
(
1976
)
575
2.
Bails
,
D.G.
and
Peppers
,
L.C.
,: Business fluctuations: Forecasting techniques and applications, Englewood Cliffs,
Prentice-Hall
,
New-Jercy
(
1993
)
607
.
3.
Chen
,
S.M.
,:
Forecasting enrolments based on higher-order fuzzy time series
.
Cybernetics and Systems, An International Journal
(
3
) (
2002
)
1
16
4.
Chen
,
S.M.
,:
Forecasting enrolments based fuzzy time series
,
Fuzzy Sets and Systems
(
81
) (
1996
)
311
319
.
5.
Draper
,
N.R.
, and
Smith
,
H.
,: Applied Regression Analysis., 3rd Edn.,
John Wiley & Sons
,
USA
.
6.
Hoff
,
J.C.
,: A practical guide to Box-Jenkins forecasting,
Lifetime Learning Publications
,
London
(
1983
)
316
.
7.
Hyndman
,
R.J.
and
Khandakar
,
Y.
,:
Automatic time series forecasting: The forecast package for R
”,
J. Statistical Software
(
27
) (
2008
)
1
22
.
8.
Kim
,
I.
, and
Lee
,
S.R.
,:
A fuzzy time series prediction method based on consecutive values
,
IEEE international fuzzy systems conference proceedings.
(
II
),
730
707
, August 22-25,
Seoul, Korea
.
9.
R K
Valseth
,
T. O.
,:
Cautionary note about R2. The Amer. Statistician
,
American journal of mathematics and statistics
39
(
4
) (
1985
)
279
285
.
10.
Lewis Beck
,
S.M.
,: Regression Analysis.,
Sage Publications
,
New York
.(
1993
)
11.
Liu
,
H.T.
,:
An improved fuzzy time series forecasting method using trapezoidal fuzzy number
,
American journal of mathematics and statistics
(
6
) (
2007
)
63
80
.
12.
McKean
,
H. P.
,: Stochastic Integrals,
Academic Press
,
New York
.
13.
Pankratz
,
A.
,: Forecasting with univariate Box-Jenkins models.,
Wiley
,
New York
. pp.
562
.
14.
Rajarathinam
,
A.
, and
Thirunavukarsu
,
M.
,:
Fuzzy time series modeling for paddy (oryza sativa l.) crop production
.,
American journal of mathematics and statistics
(
3
) (
2013
)
268
280
.
15.
Vandaele
,
W.
,:
Applied time series and Box-Jenkins models
”,
New York
. pp.
417
.
16.
Singh
,
N.
and
Kohli
,
D.S.
,:
The green revolution in Punjab, India: The economics of tech nological change
,
J. Punjab Studies
12
(
2
) (
2005
)
285
306
This content is only available via PDF.
You do not currently have access to this content.