摘要
为了应对纺织面料性能评价中的认知和测量偏差问题,提出了一种将云模型理论和逼近理想解法相结合的多属性决策方法。利用云模型理论在权重和贴近度计算方面处理评价中的模糊不确定性和随机不确定性,通过构造权重的数字特征和受限后条件云发生器生成不确定性权重,采用综合确定度代替欧氏距离计算织物与理想织物之间的"距离",并引入统计分析手段。给出了云逼近理想解法的步骤,结合例子描述了实施过程,选取热阻、吸水率、芯吸高度、透湿量和蒸发速率等5个指标对8个冰爽涤纶编制品的热湿舒适性进行了评价,证明了方法的有效性,为评价纺织面料提供了一种简单实用的方法。
To handle the inherent cognitive bias and measurement error in the performance evaluation process of the textile fabric,a muti-attribute decision making method is proposed,which combines cloud model theory with TOPSIS.Cloud model is employed to solve the fuzziness and randomness uncertainty existing in the calculation of weights and closeness values.The weight with uncertainty is generated by constructing the numerical characteristic of weight and the restricted postcondition cloud generator.The comprehensive certainty degree is substituted for Euclidean distance to calculate the separation between the fabric alternative and the ideal solution.The statistical analysis is integrated in the method.The steps of the proposed method are given and the implementation process is described with an example.Five criteria,namely thermal resistance,water absorption,wicking height,moisture transmission and evaporation rate,are selected to evaluate the heat-moisture comfort of 8 fabric samples.The results verify the effectiveness of the method.It provides a simple and practical method for evaluating textile fabrics.
作者
王永林
廖伍代
WANG Yonglin;LIAO Wudai(School of Electronic and Information,Zhongyuan University of Technology,Zhengzhou 450007,China)
出处
《中原工学院学报》
CAS
2018年第6期46-49,60,共5页
Journal of Zhongyuan University of Technology
基金
中国纺织工业联合会科技指导性计划项目(2017066)
