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A new bi-level TOPSIS based neutrosophic programming technique for land allocation to medium farm holders
1School of Advanced Sciences, Department of Mathematics, Vellore Institute of Technology Chennai, Vandalore, Chennai, 600127, India.
Heliyon
|September 9, 2024
Summary
This study introduces new bi-level programming methods for optimal crop land allocation in agriculture. These approaches help medium-sized farmers maximize profits and minimize costs amid uncertainties.
Area of Science:
- Agricultural Economics
- Operations Research
- Decision Science
Background:
- Effective farm planning and resource allocation are crucial for maximizing agricultural output and farmer income.
- Land allocation in agriculture presents complex challenges due to uncertainties in water supply, labor, fertility, and food demands.
- Optimizing crop allocation and production is vital for social and economic growth.
Purpose of the Study:
- To propose novel bi-level programming approaches for optimal land allocation for medium-sized farmers.
- To address uncertainties and unpredictable variables in agricultural land allocation problems.
- To maximize net profit and minimize expenditure in farming operations.
Main Methods:
- Development of bi-level, TOPSIS-based neutrosophic programming approaches.
- Investigation of both non-interactive and interactive approaches.
- Utilizing linear, exponential, and hyperbolic membership functions.
Main Results:
- The proposed methods effectively maximize net profit and minimize expenditure in land allocation.
- Comparison with existing methods like Torabi & Hassini, Fuzzy Optimization Technique (FOT), and Intuitionistic Fuzzy Optimization Technique (IFOT) showed superior performance.
- The novel approaches demonstrated greater effectiveness in solving complex agricultural land allocation problems.
Conclusions:
- Bi-level programming, particularly with TOPSIS-based neutrosophic methods, offers a robust solution for optimizing agricultural land allocation.
- The proposed interactive and non-interactive models provide valuable tools for medium-sized farmers facing resource uncertainties.
- These advanced techniques enhance decision-making for maximizing farm profitability and efficiency.
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