数字化人机界面的多目标意象设计决策研究

用户的感性需求愈来愈受到设计者和企业的重视.为解决实际中多目标意象要求下数字化人机界面方案选择过程中存在的复杂性与主观性问题,提出一种三角模糊数与逼近理想解排序法相结合的模糊逼近理想解排序法(F-TOPSIS).结合某新型远程操控清障车的数字化人机界面设计,在通过运用因子分析方法获取用户对数字化人机界面典型样本的4类感性意象的基础上,应用F-TOPSIS实现了决策者多目标意象特定要求下对10个数字化人机界面设计方案的优先级排序,验证了该方法的可行性.研究表明F-TOPSIS对数字化人机界面设计方案的区分度较好,能在多目标意象需求下进行较为合理、准确的设计决策.

The decision making on multi-image design for digital human-machine interface

Increasing designers and companies are paying attention to users′perceptual demand . Aiming at the existing complexity and the subjectivity in the process of digital man‐machine inter‐face scheme decision under the requirements of specific multi‐image effectively ,fuzzy technique for order preference by similarity to an ideal solution (F‐TOPSIS) was proposed which integrated tri‐angular fuzzy number and technique for order preference by similarity .Combined with a new type remote control wrecker′s digital human‐machine interface (DHMI) design ,and along with four kinds of perceptual image confirmed by using the factor analysis from the typical HDM I samples , it was applied to achieve the plan prioritization under the decision maker′s specific requirements of multi‐image for 10 digital man‐machine interface conceptual design scheme ,and its feasibility and validity were proved .Studies indicated that F‐TOPSIS had good performance in the differentia‐tion for the DHMI design scheme ,and helped to make decision with specific multi‐image require‐ments reasonably and accurately .