Fuzzy Multi-Objective Model for Crop Production Planning with Entropic Disturbance

Bablu Samanta

Department of Mathematics, Hijli College, Kharagpur, Paschim Medinipur, West Bengal, India.

Corresponding Author E-mail:dr.sbablu@gmail.com

DOI : http://dx.doi.org/10.12944/CARJ.13.3.22

Article Publishing History

Received: 08 Aug 2025
Accepted: 30 Sep 2025
Published Online: 09 Oct 2025

Review Details

Reviewed by: Dr. Monica
Second Review by: Dr. Sushan Chowhan
Final Approval by: Dr. Aristidis Matsoukis

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Abstract:

This study incorporates the application of non-linear programming in which there is more than one objective function. In the planning of agriculture, activities play an important part in optimization techniques of the objective values for the composition of mix-type crop production in different land allocations in a particular area. Designing the best production of crops by implementations of land allocation was the main goal of this study. In this article, we considered a multi-objective crop planning model in an area with Shannon’s measure of entropy objective function where coefficient parameters of objective functions are taken as trapezoidal fuzzy numbers.  Then the said problem is formulated into fuzzy multi objective model and uses a fuzzy decision-making method to solve this problem. Finally, a numerical example has been provided to support the given crop production planning problem.

Keywords:

Agriculture planning; Entropy; Fuzzy programming; Generalized fuzzy number; Multi objective model λ-integral Value

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