Abstract
Always used for cotton-rich materials. WASPAS Cotton Fabric Selection in this paper, “the WASPAS method, a relatively fresh and computationally powerful MCDM (Multi-Criteria Decision Making) tool”, is suggested to rank ten candidate cotton fabrics according to four cloth properties such as: “cover, thickness, area density, and permeability”. The suggested fabrics are evaluated and chosen in order to achieve the best thermal comfort characteristics. “Sample Number 3 ranks first (best option) with the highest evaluation score of 0.95281, while Sample Number 6 ranks tenth with the lowest evaluation score of 0.50685.” The proposed method's ranking results demonstrate a substantial agreement in ranking with previous approaches, as evidenced by the extremely high standard coefficients of correlation. With rank coefficients of correlation higher than 0.90, the ranking methods provided by the four hypothetical weight sets have the highest degree of agreement. Furthermore, even if the original making choices team is changed, that will be no rank reversal. As a result, sensitivity analyses based on altering criterion weights and the impact of dynamic matrices improve the proposed approach's stability and robustness in terms of ranking success.