Fuzzy linear mathematical programming in agriculture

Authors

  • MA Lone Division of Agri-Statistics, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir
  • MS Puktha Division of Agri-Statistics, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir
  • SA Mir Division of Agri-Statistics, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir

DOI:

https://doi.org/10.3126/bibechana.v13i0.13363

Keywords:

Fuzzy linear programming, trapezoidal membership function, maximizing income, and crop combination

Abstract

In this paper we present a Fuzzy linear Mathematical programming approach for optimal allocation of land under cultivation. Fuzzy Mathematical programming approach is more realistic and flexible optimal solution for the agricultural land cultivation problem. In this study we have discussed how to deal with decision making problems that are described by Fuzzy linear programming (Flp) models and formulated with the elements of uncertainty. This form of approximation can be convenient and sufficient for making good decisions.

BIBECHANA 13 (2016) 72-76

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Published

2015-12-03

How to Cite

Lone, M., Puktha, M., & Mir, S. (2015). Fuzzy linear mathematical programming in agriculture. BIBECHANA, 13, 72–76. https://doi.org/10.3126/bibechana.v13i0.13363

Issue

Vol. 13 (2016)

Section

Research Articles

License

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