Multi Attribute Neutrosophic Optimization Technique forOptimal Crop Selection in Ariyalur District

Abstract

Ranking crops is a vital part of sustainable farming practices. A deliberate strategy that incor
porates multi-criteria decision-making is essential for achieving sustainability in agriculture. The process of
 choosing crops involves a lot of unknowns and unpredictable elements. The neutrosophic set, characterized
 by the three independent degrees of truth (T), falsity (F), and indeterminacy (I), is more adept at handling
 incomplete data. The current study combines single-valued multi-criteria neutrosophic programming with the
 TOPSIS approach to examine the crop selection process in the Ariyalur district. This study incorporated ex
pert advice and a thorough literature analysis to identify the fundamental criteria for developing sustainable
 crop planning for important crops in the Ariyalur area. In order to rate the crops and achieve sustainability
 for agricultural production, eleven significant criteria were selected based on environmental, social, economic,
 and soil nutrient concerns. In this study, the relative importance of criteria and alternatives is assessed by
 consolidating the views of different decision-makers into a unified opinion through a single-valued neutrosophic
 set-based weighted averaging operator. The current approach will greatly enhance the self-sufficiency of the
 agricultural sector and boost the country’s GDP. Additionally, it will support the Ministry of Agriculture and
 other stakeholders in formulating regulations related to crop harvesting methods.