Development and Application of an Interval-Valued Pythagorean Fuzzy Set-Based Grade Evaluation Method to Foreign Fiber Content

To solve the problem of grade evaluation foreign fiber content in cotton, this paper divided into multi-criteria decision-making field and proposed an interval-valued Pythagorean fuzzy set method. Taking account various properties fibers, single comprehensive is carried out to improve quality cotton textiles. Based on set, we used AHP TOPSIS methods determine relevant weight information, combined with index weighted average or geometric operators construct a decision model. Then, function improved make score more consistent facts, digitization intelligence required for detection are developed. Further, example given verify feasibility effectiveness In addition, method adopted has high theoretical innovation application value textile industry.