Open Access
Subscription Access
Open Access
Subscription Access
Crop Production Planning for Different Size Group of Farmers Using Fuzzy Multi Objective Linear Programme
Subscribe/Renew Journal
Present study is an application of fuzzy optimization technique in agricultural planning particularly for farmers of Coimbatore district, Tamil Nadu, India. Generally the crop planning problem is formulated as linear programming problem but in real situation there are many uncertain factors in agricultural production planning problems. Therefore, future profit for crops is imprecise and uncertain. In this article an attempt is made to formulate a model for crop planning for different size group of farmers in Coimbatore district.
Keywords
Fuzzy, Goal Programming, Linear, Production Planning.
Subscription
Login to verify subscription
User
Font Size
Information
- Biswas, A.B. and Pal, B. (2005). Application of fuzzy goal programming technique to land use planning in agricultural system.Omega, 33: 391-398.
- Chanas, S. (1989). Fuzzy programming in multiobjective linear programming-A parametric approach, Fuzzy Sets & Systems, 29: 303-313.
- Garg, A. and Singh, S. R. (2010). Optimization under uncertainty in agricultural production planning, I Concept Pocket J. Computational Intelligence for Financial Engineers, 1: 1-12.
- Itoh,T,. Ishii, H. and Nanseki, T. (2003). Amodel of crop planning under uncertainty in agriculture management, Internat. J. Prod. Econ., 81: 555-558.
- Lodwick, W., Jamison, D. and Russell, S.(2003). A comparison of fuzzy stochastic deterministic methods in linear programming, Proceeding of IEEE, 321-325.
- Pal, B. B. and Moitra, B. M. (2003). Fuzzy goal programming approach to long term land allocation planning in agricultural system: A case study, Proceedings of fifth international conference on Advances in pattern recognition, Allied Publishers Pvt. Ltd.441- 447pp.
- Sakawa,M . and Yano, H. (1986). Interactive fuzzy decision making for multiobjective non-linear programming using augmented minimax problems, Fuzzy Sets & Syst., 20: 31-43.
- Sakawa, M., Yano, H. andYumine, T. (1987). An interactive fuzzy satisficing method for multi objective linear-programming problems and its application IEEE Transactions on Systems, Man & Cybernetics, 17: 654–661.
- Sarker, R.A., Talukdar, S. and Anwarul, Haque A.F.M. (1997). Determination of optimum crop mix for crop cultivation in Bangladesh. Appl. Mathematical Modelling, 21: 621 632.
- Sher, A. and Amir, I.(1994). Optimization with fuzzy constraints in agriculture production planning, Agric. Syst., 45: 421-441.
- Sinha, S.B., Rao, K.A. and Mangaraj, B. K. (1988). Fuzzy goal programming in multicriteriadecision systems- A case study in agriculture planning. Socio –Econ. Planning Sci., 22(2): 93-101.
- Slowinski, R.(1986). A multi criteria fuzzy linear programming method for water supply system development planning. Fuzzy Sets & Syst., 19 : 217-237.
- Sumpsi, J. M., Fransisco, Amador and Carlos, Romero (1996). On farmer’s objectives: A multi criteria approach. Europian J. Operation Res., 96: 64-71.
- Toyonaga,T., Itoh,T. and Ishii, H. (2005). A crop planning problem with fuzzy random profit co-efficients. Fuzzy Optimization & Decision Making, 4: 51-59.
- Vasant, P. M. (2003). Application of fuzzy linear programming in production planning, Fuzzy Optimization & Decision Making, 3: 45-55.
- Zimmermann, H. J. (1978). Fuzzy programming and linear programming with several objective functions, Fuzzy Sets & Syst., 1: 45-55.
- Zimmermann, H. J. (1983). Fuzzy mathematical programming. Computers & Operations Res., 10: 291–298.
Abstract Views: 166
PDF Views: 0