Cigarette Quality Evaluation Method Based on Pythagoras Fuzzy Multi-attribute Group Decision-making
With the rapid advancement of digitalization in cigarette industry enterprises,accurate and appropriate methods for evaluating the quality of cigarette cigarettes directly affect the quality and efficiency of cigarette production.A cigarette quality evaluation method based on Pythagorean fuzzy multi-attribute group decision-making is proposed based on the characteristics of multi-attrib-ute,uncertainty,and fuzziness of indicator information in cigarette quality evaluation.Using the Py-thagorean fuzzy set to express and process indicator information,constructing a comprehensive dis-tance model and a knowledge measure model to determine weight information when the expert weight and indicator weight are unknown;Define a new Pythagorean fuzzy number sorting method based on relative distance and information reliability,and calculate the aggregation operator of each scheme for sorting.The results indicate that the method can be effectively applied to the quality evaluation of cigarette cigarettes,and the decision-making results are more accurate and objective.
Pythagoras vaguenessmulti-attribute group decision-makingcigarette sticksquality assessment
国家科技期刊平台
NSTL
万方数据
维普
