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A distinct management of linear programming in uncertain atmosphere

Author

Listed:
  • Tuhin Bera
  • Nirmal Kumar Mahapatra

Abstract

For a linear programming problem (Lp-problem), a fluctuation of the optimal objective value may occur when some relevant parameters are additionally acted upon the system. An Lp-problem is here structured in the parlance of a number of such parameters to have a fair end. Each parameter corresponds one objective function and thus the problem is multi-objective. The coefficient of objective function is set upon the expert's past experience and its degree of functionality so that a particular problem can also support the different atmosphere. The experimental data is described by three kinds of single valued triangular neutrosophic number (Svtrn-number) to deal with uncertainty. To manipulate huge number of data in uncertain climate, graded mean integration concept is practiced to find the score of an Svtrn-number. A user friendly algorithm is developed to solve an Lp-problem. The model is applied on a fishery planning to justify its efficiency. The obtained result is analysed, and is compared in existing frames to claim the superiority of this work.

Suggested Citation

  • Tuhin Bera & Nirmal Kumar Mahapatra, 2023. "A distinct management of linear programming in uncertain atmosphere," International Journal of Mathematics in Operational Research, Inderscience Enterprises Ltd, vol. 26(2), pages 182-199.
    • Handle: RePEc:ids:ijmore:v:26:y:2023:i:2:p:182-199
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