首页|基于FEA-AHP的智能服装设计效果综合评价

基于FEA-AHP的智能服装设计效果综合评价

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针对当前智能服装设计最终效果难于评价的问题,探讨基于技术接受模型(Technology Acceptance Model,TAM)下扩展模型 FEA(Functionality,Expressiveness and Aesthetics)、层次分析法(Analytical Hierarchy Process,AHP)和模糊综合评价模型在智能服装中的应用,以智能服装为评价对象,基于FEA-AHP构造智能服装设计效果评价指标体系.该评价体系包括 3 个一级指标与 18 个二级指标,按照特征向量法计算智能服装设计元素各个单项指标的权重值,并对各项指标逐层评价分析,最后进行实例验证.研究结果表明,FEA-AHP模糊综合评价是一种基于多维设计因子的智能服装设计综合评价方法,实用性较强,可以有效完成对智能服装设计效果的评价,对智能服装的设计与营销具有现实指导意义.
Research on comprehensive evaluation of intelligent clothing design effect based on FEA-AHP
In view of the difficulty in evaluating the final effect of current intelligent clothing design,the application of extended Functionality,Expressiveness and Aesthetics Model(FEA)based on Technology Acceptance Model(TAM),Analytical Hierarchy Process(AHP)and fuzzy comprehensive evaluation model in intelligent clothing was studied.Taking intelligent clothing as the evaluation object,an index system for the effect evaluation of intelligent clothing design was constructed based on FEA-AHP,including 3 first-level indicators and 18 second-level indicators.The weight value of each single indicator of intelligent clothing design element was calculated according to the feature vector method,and each index was evaluated and analyzed layer by layer,and finally,the example was verified.The results show that FEA-AHP fuzzy comprehensive evaluation is a comprehensive evaluation method of intelligent clothing design based on multi-dimensional design factors,which is practical and can effectively evaluate the effect of intelligent clothing design,and has practical guiding significance for the design and marketing of intelligent clothing.

intelligent clothingFEA-AHPfuzzy comprehensive evaluation modeldesign effectanalytic hierarchy processeigenvector method

李婧、许才国、武会会

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宁波大学 宁波大学昂热大学联合学院,浙江 宁波 315211

宁波大学 中法时尚文化与创新设计研究中心,浙江 宁波 315211

宁波大学 潘天寿建筑与艺术设计学院,浙江 宁波 315211

智能服装 FEA-AHP 模糊综合评价 设计效果 层次分析法 特征向量法

浙江省自然科学基金一般项目宁波市自然科学基金一般项目教育部产学合作协同育人项目宁波大学教研重点项目

LY22E030005202003N4076220804084181404JYXMXZD2023011

2024

毛纺科技
中国纺织信息中心 北京毛纺织科学研究所

毛纺科技

北大核心
影响因子:0.3
ISSN:1003-1456
年,卷(期):2024.52(4)
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