Biomass and renewable agricultural feedstocks are being used to create an increasing number of composite materials. To produce materials with properties comparable to those of traditional composite materials, it is necessary to address the challenges posed by incorporating natural fibers into polymers, such as inadequate thermal properties and excessive water absorption. Natural fiber-polymer composites (NFPCs) are a new trend in reinforcements and additives that eliminate the problems without resorting to very expensive chemical and physical modification procedures. This could greatly improve the NFPCs’ attributes in a strong and long-lasting manner. This research selects the best NFPCs for sustainable practices using a probability-based approach to the Euclidean distance function. The entropy technique is used to address the imprecision of eliciting judgements, as information related to NFPCs characteristics is never exact. Utilizing the Euclidean distance function, the TOPSIS approach is then used to determine which NFPCs are optimal. Based on the most important criterion of tensile strength (0.5104), carbon fiber is the best option, with the highest score value (0.9999) among the alternatives. To demonstrate the robustness of the suggested approach, the report also examines the sensitivity of the numerical results.