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Using Fuzzy Goal Programming for Long-Term Water Resource Allocation Planning in Agricultural System: A Case Study

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Book cover Mathematical Modelling and Scientific Computation (ICMMSC 2012)

Abstract

This paper presents a fuzzy goal programming (FGP) method for modeling and solving farm planning problems for optimal production of several crops by proper allocation of irrigation water in different seasons in a planning year. In the model formulation, the priority based FGP is addressed for achievement of the highest value (unity) of the membership goals defined for the fuzzy goals of the problem to the extent possible on the basis of needs and desires of the decision maker (DM) in the decision making situation.

The case example of the Bardhaman District of West Bengal in India is considered to demonstrate the approach.

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References

  1. Revelle, C., Joeres, E., Kirby, W.: The Linear Decision Rule in Reservoir Management and Design: Development of the Stochastic Model. Water Resources Res. 5, 767–777 (1969)

    Article  Google Scholar 

  2. Askew, A.J.: Chance-Constrained Dynamic Programming and the Optimization of Water Resource Systems. Water Resources Research 10, 1099–1106 (1974)

    Article  Google Scholar 

  3. Slowinski, R., Urbaniak, A., Weglarz, J.: Bicriterion Capacity Expansion Planning of a Water Supply System. Math. Operations Res. 46, 733–744 (1983)

    MATH  Google Scholar 

  4. Slowinski, R.: A Multicriteria Fuzzy Linear Programming Method for Water Supply System Development Planning. Fuzzy Sets Syst. 19, 217–237 (1986)

    Article  MathSciNet  MATH  Google Scholar 

  5. Yeh, W.W.G.: Reservoir Management and Operations Models: A State-of-the-Art Review. Water Resources Res. 21, 1797–1818 (1985)

    Article  Google Scholar 

  6. Wheeler, B.M., Russell, J.R.M.: Goal Programming and Agricultural Planning. Operational Res. Qly. 28, 21–32 (1977)

    Article  Google Scholar 

  7. Nix, J.S.: Farm management: The State-of-the-Art (or Science). Journal of Agricultural Economics 30, 277–292 (1979)

    Article  Google Scholar 

  8. Glen, J.: Mathematical Models in Farm Planning: A Survey. Operations Research 35, 641–666 (1987)

    Article  Google Scholar 

  9. Pal, B.B., Basu, I.: Selection of appropriate priority structure for optimal land allocation in agricultural planning through goal programming. Indian Journal of Agricultural Economics 51, 342–354 (1996)

    Google Scholar 

  10. Panda, S.N., Khepar, S.D., Kausal, M.P.: Interseasonal irrigation system planning for waterlogged sodic soils. J. Irrig. Drain. Engg. ASCE 122(3), 135–144 (1996)

    Article  Google Scholar 

  11. Pal, B.B., Moitra, B.N.: Using Fuzzy Goal Programming for Long Range Production Planning in Agricultural Systems. Indian J. Agricultural Economics 59(1), 75–90 (2004)

    Google Scholar 

  12. Bravo, M., Ganzalez, I.: Applying Stochastic Goal Programming: A case study on water use planning. European J. Operational Res. 196, 1123–1129 (2009)

    Article  MATH  Google Scholar 

  13. Zimmermann, H.-J.: Fuzzy Set Theory and Its Applications, 2nd Revised edn. Kluwer Academic Publishers, Boston (1991)

    Book  MATH  Google Scholar 

  14. Pal, B.B., Moitra, B.N.: A Goal Programming Procedure for Solving Problems with Multiple Fuzzy Goals Using Dynamic Programming. European J. Operational Res. 144(3), 480–491 (2003)

    Article  MathSciNet  MATH  Google Scholar 

  15. Romero, C.: A Survey of Generalized Goal Programming. European J. Operational Res. 25(2), 183–191 (1986)

    Article  MathSciNet  MATH  Google Scholar 

  16. District Statistical Hand Book, Bardhaman. Department of Bureau of Applied Economics and Statistics. Govt. of West Bengal, India (2008)

    Google Scholar 

  17. Economic Review. Department of Bureau of Applied Economics and Statistics. Govt. of West Bengal, India

    Google Scholar 

  18. Basak, R.K.: Soil testing and fertilizer recommendation. Kalyani Publishers, New Delhi (2000)

    Google Scholar 

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© 2012 Springer-Verlag Berlin Heidelberg

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Pal, B.B., Goswami, S.B., Sen, S., Banerjee, D. (2012). Using Fuzzy Goal Programming for Long-Term Water Resource Allocation Planning in Agricultural System: A Case Study. In: Balasubramaniam, P., Uthayakumar, R. (eds) Mathematical Modelling and Scientific Computation. ICMMSC 2012. Communications in Computer and Information Science, vol 283. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28926-2_18

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  • DOI: https://doi.org/10.1007/978-3-642-28926-2_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28925-5

  • Online ISBN: 978-3-642-28926-2

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