工程设计学报2017，Vol.24Issue(5)：523-529,7.DOI:10.3785/j.issn.1006-754X.2017.05.006
基于感性工学的人机界面多意象评价
Multi-image evaluation for human-machine interface based on Kansei engineering
摘要
Abstract
In order to provide an effective evaluation method for human-machine interface design, a multi-image evaluation method for human-machine interface based on Kansei engineering was proposed around the users' perceptual demand for human-machine interface. Firstly, the perceptual evaluation index system based on Kansei engineering was built. In the weight assignment of indexes, the grey correlation analysis was introduced into group analytic hierarchy process (AHP). The comprehensive weight was obtained through the improved group AHP. And thus, the disadvantage of excessive subjectivity of traditional AHP was resolved. Based on vagueness of perceptual evaluation, a comprehensive evaluation model based on intuitionistic fuzzy set and TOPSIS was given. The effectiveness and feasibility of the evaluation method were proved with the design schemes of human-machine interface for CNC machine tools. This method has certain reference significance for Kansei design and design evaluation of human-computer interface.关键词
人机界面/感性工学/群层次分析/灰色关联分析/直觉模糊集/TOPSIS(technique for order preference by similarity to an ideal solution)Key words
human-machine interface/Kansei engineering/group analytic hierarchy process/grey correlation analysis/intuitionistic fuzzy set/TOPSIS (technique for order preference by similarity to an ideal solution)分类
信息技术与安全科学引用本文复制引用
袁树植,高虹霓,王崴,瞿珏,刘晓卫,李康..基于感性工学的人机界面多意象评价[J].工程设计学报,2017,24(5):523-529,7.基金项目
国家自然科学基金资助项目(51675530,51405505) （51675530,51405505）
航空科学基金资助项目(20145596026) （20145596026）
