摘要
探讨了在人体显汗的状态下影响夏季服用针织物舒适性的关键因素 ,并进行了实验和分析。用灰色关联度聚类分析的方法对数据进行处理可以实现对织物舒适性的客观综合评价。借助于计算机高级编程语言是灵活、高效地实现这类评价的有效途径。
Key factors of comfort property of knitted fabric under the dominant sweat state in summer are tested as analyzed. By using the gray association degree classification analysis theory,datas to achieve objective synthetical evaluation on fabric comfort are dealed with. It is a flexible high efficiency way to use computer language to evaluate it.
出处
《上海纺织科技》
北大核心
2004年第3期38-39,共2页
Shanghai Textile Science & Technology
