Branch Mathematics and Statistics Faculty and Staff Publications

Document Type

Article

Publication Date

2025

Abstract

This study addresses the challenges of uncertainty, vagueness, and imprecision in real-world decision-making, particularly for small-scale farmers selecting short-term crops. The central problem is the lack of a systematic framework to evaluate conflicting criteria such as investment, yield, market demand, and soil requirements. To solve this, a Multi-Criteria Decision-Making (MCDM) framework is introduced, which integrates Cubic Spherical Neutrosophic Sets (CSNS) and Neutrosophic Hyper Soft Sets (NHSS). The research also proposes a novel cubic spherical neutrosophic Bonferroni mean operator for aggregating neutrosophic sets. The effectiveness of this approach is demonstrated through a case study in Tamil Nadu, focusing on selecting the most suitable crop for different climatic zones. A sensitivity analysis confirms the model's robustness and reliability. The tool aims to improve resource utilization, reduce risks, and promote agricultural sustainability.

Language (ISO)

English

Keywords

Soft sets, Hypersoft sets, Neutrosophic Soft sets, Neutrosophic Hypersoft sets, Multi-Criteria Decision-Making

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

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