A. HONARBAKHSH ET AL.

402

in 1hile it isicted that25 there

will be 726 to 860 m3 [32]. Therefore, prediction of af-

cting fac such as evappiration isssary.

[1] M. R. Kousari and H. Ahani, “An Investigation on Ref-

erence Crop Efrom 1975 to 2005

in Iran,” Inter matology, Vol. 32,

990 in Iran, w pred in 20

fe torsotrans nece

REFERENCES

vapotranspiration Trend

national Journal of Cli

No. 15, 2012, pp. 2387-2402. wileyonlinelibrary.com

http://dx.doi.org/10.1002/joc.3404

[2] P. Najafi, “Computerize Model of Plant Evapotranspira-

tion by Using of Hargrives Samani Method in Differen

Points of IRAN,” Designing Researt

ch of Khorasgan Azad

eedings of the Vancouver Symposium),

061/(ASCE)0733-9437(1986)112:4(

University. 2004

[3] J. L. Monteith, “Evaporation and Environment,” Hy-

drologie Forestiere et Amenagement des Bassins Hy-

drologiques (Proc

August 1987, Actes du Co11oque de Vancouver, Aout

1987, pp. 319-327.

[4] R. G. Allen, “A Penman for All Season,” Irrigation and

Drainage, Vol. 112, No. 4, 1986, pp. 348-368.

http://dx.doi.org/10.1

348)

[5] R. G. Allen, L. S. Pereira, D. Raes and M. Smit

Evapotranspiration—Guidelines for Computing Crop

Water

h, “

Requirements,” FAO Irrigation and Drainage Pa-

Engineering Practice No. 70, New

ans., Vol. 43, No. 2, 2000, pp. 492-496.

Crop

per 56. Food and Agriculture Organization of the United

Nations, Rome, 1998.

[6] M. E. Jensen, R. D. Burman and R. G. Allen, “Evapotran-

spiration and Irrigation Water Requirements,” ASCE

Manual and Report on

York, 1990.

[7] J. M. Bruton, R. W. McClendon and G. Hoogenboom,

“Estimating Daily Pan Evaporation with Artificial Neural

Network,” Tr

[8] C. H. B. Priestley and R. J. Taylor, “On the Assessment

of Surface Heat FRBMux and Evaporation Using Large-

Scale Parameters,” Monthly Weather Review, Vol. 100,

No. 2, 1972, pp. 81-91.

http://dx.doi.org/10.1175/1520-0493(1972)100<0081:OT

AOSH>2.3.CO;2

[9] L. O. Odhiambo, R. E.

Hines, “Optimization of Fuzzy Evapotranspiration Model

through Neural T

Yoder, D. C. Yoder and J. W.

raining with Input-Output Examples,”

Transactions of the ASAE. Vol. 44, No. 6, 2001, pp.

1625-1633. http://dx.doi.org/10.13031/2013.7049

[10] M. Shayannejad and S. SaadatiNejad, “Determining of

Evapotranspiration by Using Fuzzy Regression Method,”

Journal of Water Resources Research, Vol. 9, No. 3,

ersity, Logan, Utah, 1994.

[13] G. H. Hargreaves and Z. A. Samani, “Reference Crop

Evapoiration FRTemper” Tra on

of ASAE, 1985, pp. 96-99.

4] L. A. Z, “Fuzzy Seformatio Contol.

ives,” Journal

2007, pp. 1-9.

[11] G. H. Hargreaves, “Simplified Coefficients for Estimating

Monthly Solar Radiation in North America and Europe,”

Utah State Univ

[12] G. H. Hargreaves and Z. A. Samani, “Estimating Poten-

tial Evapotranspiration,” Journal of Irrigation and Drai-

nage Engineering, Vol. 108, No. IR3, 1982, pp. 223-230.

transp

, Vol. 1, No. 2Mom ature,nsacti

[1 adeh t,” Inn androl, V

8, No. 3, 1965, pp. 338-353.

[15] A. Bardossy and L. Duckstein, “Fuzzy Rule Based Mod-

eling Wigh Application to Geophysical, Biological and

Engineering Systems,” CRC Press, Boca Raton, 1995.

[16] D. G. Fontane, T. K. Gates and E. Moncada, “Planning

Reservoir Operations with Imprecise Object

of Water Resources Planning and Management, Vol. 123,

No. 3, 1997, pp. 154-162.

http://dx.doi.org/10.1061/(ASCE)0733-9496(1997)123:3(

154)

[17] G. Pesti, B. P. Shreshta, L. Duckstein and I. Bogardi, “A

Fuzzy Rule Based Approach to Drought Assessment,”

Water Resources Research, Vol. 32, No. 6, 1996, pp.

1741-1747. http://dx.doi.org/10.1029/96WR00271

[18] A. Bardossy I. Bogardi and

sion in Bydrology,” Water Resources Research, Vol. 26,

No. 7,

L. Duckstein, “Fuzzy Regres-

1990, pp. 1497-1508.

http://dx.doi.org/10.1029/WR026i007p01497

[19] P. G. Benardos and G. C. Vosniakos, “Prediction of Sur-

face Roughness in CNC Face Milling Using Neural Net-

works and Taguchi’s Design of Experiments,” Robotics

Asia, “Linear Regression

ons on Sys-

and Computer-Integrated Manufacturing, Vol. 18, No.

5-6, 2002, pp. 343-354.

[20] H. Tanaka, S. Uejima and K.

Analysis with Fuzzy Model,” IEEE Transacti

tems, Man and Cybernetics, Vol. 12, No. 6, 1982, pp.

903-907. http://dx.doi.org/10.1109/TSMC.1982.4308925

[21] J. J. Buckley, “Fuzzy Hierarchical Analysis,” Fuzzy Sets

and Systems, Vol. 17, No. 3, 1985, pp. 233-247.

[22] J. J. Buckley, E. Eslami and T. Feuring, “Fuzzy Mathe-

matics in Economics and Engineering,” Physica Verlag,

Heidelberg, 2002.

http://dx.doi.org/10.1007/978-3-7908-1795-9

[23] P. Diamond, “Fuzzy Least Squares,” Information Science,

Vol. 46, No. 3, 1988, pp. 141-157.

http://dx.doi.org/10.1016/0020-0255(88)90047-3

5-8

[24] H. F Wang and R. C. Tsaur, “Insight of a Fuzzy Regres-

sion Model,” Fuzzy Sets and Systems, Vol. 112, No. 3,

2000, pp. 355-369.

http://dx.doi.org/10.1016/S0165-0114(97)0037

ir Applications, Vol.

[25] Prajneshu, “A Stochastic Model for Two Interacting Spe-

cies,” Stochastic Processes and The

4, No. 3, 1976, pp. 271-282.

http://dx.doi.org/10.1016/0304-4149(76)90015-6

[26] Y. H. O. Chang and B. M. Ayaaub, “Fuzzy Regression

Methods—A Comparative Assessment,” Fuzzy Sets and

Systems, Vol. 119, No. 2, 2001, pp. 187-203.

[27] G. Peters, “Fuzzy Li near Re gressi n wit h Fuzzy Inte rvals, ”

Fuzzy Sets and Systems, Vol. 63, No. 1, 1994, pp. 45-55.

[28] K. J. Kim, H. Moskowitz and

sus statistical linear regression,” European Journal of

M. Koksalan, “Fuzzy ver-

Operational Research, Vol. 92, No. 2, 1996, pp. 417-434.

http://dx.doi.org/10.1016/0377-2217(94)00352-1

[29] C. Kao and C. L. Chyu, “A Fuzzy Linear Regression

Model with Better Explanatory Power,” Fuzzy Sets and

Open Access OJG