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作 者:高小针 张阿维 徐凤芹 董晓日 GAO Xiaozhen;ZHANG Awei;XU Fengqin;DONG Xiaori(School of Art and Design,Bengbu University,Bengbu 233030,Anhui,China;School of Apparel and Art Design,Xi’an Polytechnic University,Xi’an 710048,China)
机构地区:[1]蚌埠学院艺术设计学院,安徽蚌埠233030 [2]西安工程大学服装与艺术设计学院,陕西西安710048
出 处:《西安工程大学学报》2023年第1期112-118,共7页Journal of Xi’an Polytechnic University
基 金:安徽省高等学校人文社会科学研究重点项目(SK2021A0719);蚌埠学院自然科学研究项目(2021ZR02);蚌埠学院自然科学研究重点项目(2019SK01zd)。
摘 要:为高效、精准地传递智能投影电视仿生意象语义,提升用户感性认知需求与智能投影电视仿生意象契合度,提出了意象耦合造型仿生设计方法。利用KJ法、语义差分法、K-means聚类分析法获得智能投影电视目标意象。使用层次分析法区分主次目标意象,以主目标意象耦合筛选仿生原型。通过形态分析法与层次分析法建立多特征耦合意象递减结构并构造判断矩阵,获取生物特征耦合意象贡献度。将主特征融入智能投影电视造型,形成可视化方案。结合德尔菲法和模糊综合评价法验证了该方法的可靠性,为相关产品创新设计提供参考。In order to convey bionic image semantics of the intelligent projection TV efficiently and accurately,and improve the matching of users′perceptual cognitive needs with the bionic image of intelligent projection TV.An image coupling bionic design method was proposed.Firstly,the intelligent projection TV target image was obtained by KJ,Semantic difference method(SD)and K-means clustering method.Secondly,the primary,secondary and general target images were distinguished by anallytic hierarchy process(AHP),and the bionic prototype was selected according to the coupling of the primary target images.Thirdly,by means of morphological analysis and AHP,the decline structure of multi-feature coupled images was established and the judgment matrix was constructed.The contribution of coupled image of biological features was obtained.The main features were integrated into the intelligent projection TV styling to form a visual scheme.Finally,the reliability of image coupling styling method was verified by Delphi and fuzzy comprehensive evaluation method.The research process provides a reference for related product innovation design.
关 键 词:意象耦合 层次分析法 智能投影电视 造型仿生 意象贡献度
分 类 号:TB472[一般工业技术—工业设计]
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