Integrating Fuzzy Rough Sets with LMAW and MABAC for Green Supplier Selection in Agribusiness

The evolving customer demands have significantly influenced the operational landscape of agricultural companies, including transformation their supply chains. As a response, many organizations are increasingly adopting green chain practices. This paper focuses on initial step selecting supplier, using case study Semberka Company. objective is to align company with requirements and market trends. Expert decision making, grounded in linguistic values, was employed facilitate these values into fuzzy numbers subsequently derive rough number boundaries. Ten economic-environmental criteria were identified, six suppliers evaluated against criteria. LMAW (Logarithm Methodology Additive Weights) method determine weights, emphasis placed quality criterion. MABAC (Multi-Attributive Border Approximation Area Comparison) then utilized rank identify top performer. validity results established through validation techniques sensitivity analysis. research contributes novel approach supplier selection, employing powerful tool sets. flexible nature this suggests its potential application future investigations. limitation more complicated calculations for maker. However, adapted human thinking minimizes ambiguity uncertainty research, it necessary combine other methods multi-criteria