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

Pal, Bijay Baran; Goswami, S. B.; Sen, Sourav; Banerjee, Dipti

doi:10.1007/978-3-642-28926-2_18

Cited by 8 publications

(6 citation statements)

References 12 publications

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“…3. Many researchers [13]- [15] have been using the LP model's types, such as the fuzzy goal programming, to solve their problems in the farm field, where ambiguity and vagueness affect decision-making.…”

Section: A Uses Of Lp Modelmentioning

confidence: 99%

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A Review of Applications of Linear Programming to Optimize Agricultural Solutions

Alotaibi¹,

Nadeem²

2021

IJIEEB

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Quantitative methods help farmers plan and make decisions. An apt example of these methods is the linear programming (LP) model. These methods acknowledge the importance of economizing on available resources among them being water supply, labor, and fertilizers. It is through this economizing that farmers maximize their profit. The significance of linear programming is to provide a solution to the existing real-world problems through the evaluation of existing resources and the provision of relevant solutions. This research studies various LP applications including feed mix, crop pattern and rotation plan, irrigation water, and product transformation; that have the main role to enhance various facets of the agriculture sector. The paper will be a review that will probe into the applications of the LP model and it will also highlight the various tools that are central to analyzing LP model results. The review will culminate in a discussion on the different approaches that help optimize agricultural solutions.

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Section: A Uses Of Lp Modelmentioning

confidence: 99%

“…The findings indicate that FP models evaluated the sustainability metrics more than LP models. [15] used Fuzzy goal programming (FGP) to efficiently irrigate water management in various seasons in the planning year. They confirmed that FGP contributes to solving farm problems with an uncertain decision environment.…”

Section: E Irrigation Watermentioning

confidence: 99%

A Review of Applications of Linear Programming to Optimize Agricultural Solutions

Alotaibi¹,

Nadeem²

2021

IJIEEB

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“…For agricultural production where uncertainty and vagueness effect the profit directly or indirectly, several researchers such as Slowinski [4], Sinha et al [5], Sher and Amir [6], Sumpsi et al [7], Saraker et al [8], Pal and Moitra [9], Vasant [10], Biswas and Pal [11] used fuzzy goal programming techniques for farm planning problems. Lodwick et al [12] made a comparison of fuzzy stochastic and deterministic method in a case of crop planning problem followed by a study of Itoh and Ishii [14] based on possibility measure.…”

Section: Literature Reviewmentioning

confidence: 99%

Study of Some Agricultural Crop Production Planning Condition through Fuzzy Multi-Objective Linear Programming Mathematical Model

2016

IJSR

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Present study is an application of fuzzy optimization technique in agricultural planning particularly for farmers of Patan district, North Gujarat, 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.

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“…Fuzzy GP (FGP) [33][34][35] is used as an efficient tool for farm planning problems. Biswas & Pal [36] applied FGP to land use planning problem in an agricultural system.…”

Section: Introductionmentioning

confidence: 99%

A Multiobjective Fuzzy Chance Constrained Programming Model for Land Allocation in Agricultural Sector: A case study

Biswas¹,

Modak²

2017

IJCIS

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In this article a fuzzy multiobjective chance constrained programming model is used for modeling and solving land allocation problems efficiently with the help of fuzzy goal programming. Optimal production of seasonal crops and related expenditures are considered from the viewpoint of proper utilization of total cultivating land and different farming resources. Some resource parameters associated with the probabilistic constraints are taken as normally distributed fuzzy random variables. The potential use of this methodology is illustrated by a case example.

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

Cited by 8 publications

References 12 publications

A Review of Applications of Linear Programming to Optimize Agricultural Solutions

A Review of Applications of Linear Programming to Optimize Agricultural Solutions

Study of Some Agricultural Crop Production Planning Condition through Fuzzy Multi-Objective Linear Programming Mathematical Model

A Multiobjective Fuzzy Chance Constrained Programming Model for Land Allocation in Agricultural Sector: A case study

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