基于云逼近理想解法的冰爽涤纶热湿舒适性评价
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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.
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.
引文
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[18]王永林.织物热湿舒适性的可拓评价研究[J].河南工程学院学报(自然科学版),2009,21(4):1-4.
[2]任强,张祥爱.凉爽保健型纤维的研究进展[J].化纤与纺织技术,2015(1):35-39.
[3]徐巧,丛洪莲.冰爽涤纶无缝内衣面料热湿舒适性的综合评价[J].纺织学报,2013,34(11):49-53.
[4]李德毅.不确定性人工智能[M].第2版.北京:国防工业出版社,2014:192-194.
[5]杨洁,王国胤,刘群,等.正态云模型研究回顾与展望[J].计算机学报,2018,41(3):724-744.
[6]Li W S,Wang Y,Du J,et al.Synergistic integration of graph-cut and cloud model strategies for image segmentation[J].Neurocomputing,2017,257:37-46.
[7]王锦,潘恒.基于相似云的网络安全风险评估[J].中原工学院学报,2018,29(1):67-71.
[8]李存斌,庆格夫,冯霞,等.基于云模型和改进TOPSIS法的电力设备状态检修控制策略[J].华东电力,2014,42(2):355-359.
[9]Zeng W,Jiang F,ZENG Q S,et al.Decision-making method for electrical equipment condition-based maintenance[J].International Journal of Emerging Electric Power Systems.2015,16(4):349-355.
[10]张龙昌,杨艳红,赵绪辉.基于云模型的SaaS决策方法[J].电子学报,2015,43(5):987-992.
[11]Wang T D,Peng D H,Shao X S.A cloud TOPSISmethod for multiple criteria decision making with interval number[C]//Proceedings of the 3rd International Conference on Wireless Communication and Sensor Networks.Paris:Atlantis Press,2016,44:389-394.
[12]王永林.基于云理论和理想解法的客户协同创新工作评价[J].创新科技,2015(8):25-28.
[13]Zhang J N,Chang W B,Zhou S H.An improved MC-DM model with cloud TOPSIS method[C]//Proceedings of the 27th Chinese Control and Decision Conference.Singapore:IEEE Industrial Electronics Chapter,2015:873-878.
[14]Tzeng G H,Huang J J.Multiple attribute decision making:Methods and applications[M].New York:CRCPress,2011:69-79.
[15]张静,张智慧,李小冬,等.基于熵权的TOPSIS法的港口军事运输能力评估[J].清华大学学报(自然科学版),2018,58(5):494-499.
[16]张威,刘君妹,陈振宏,等.聚苯硫醚不锈钢混纺织物穿着舒适性研究[J].棉纺织技术,2013,41(12):1-4.
[17]尹方方,孙润军.棉/毛混纺织物接触舒适性的灰色近优评价[J].毛纺科技,2016,44(11):22-26.
[18]王永林.织物热湿舒适性的可拓评价研究[J].河南工程学院学报(自然科学版),2009,21(4):1-4.