A Hybrid Neutrosophic Entropy-Based Multi-Criteria Decision Model with Application to Agricultural Plant Evaluation: plant in Abyan-Yemen

Abstract

This study proposes a hybrid neutrosophic entropy based multi criteria decision- making (MCDM) model for evaluating agricultural plants under uncertainty. The model integrates neutrosophic logic with entropy weighting and is applied to six plant types in Abyan Governorate, Yemen. Statistical analysis using SPSS is conducted to validate the results. The findings demonstrate the robustness and reliability of the proposed model.