Fuzzy emotional evaluation of color matching for aircraft cockpit design

Abstract

Numerous human factors need to be considered in the analysis and design of aircraft cockpits. The investigation of cockpit color patterns and the design of matched color schemes are particularly important. In this paper, we propose a fuzzy-logic-based emotional evaluation scheme for color pattern design in aircraft cockpits. Color pattern samples were collected and analyzed to construct a color library for cockpit color matching. Color scheme groups were accordingly redesigned and visualized. Based on fuzzy-set theory, the Kansei engineering model was thus used to evaluate the emotional image of the color schemes, and rank them in terms of priority. A support vector machine was trained to construct a comprehensive intelligent color evaluation system. After training and validating the evaluation model, accurate emotional evaluation of color matching schemes could be achieved. Thus, the proposed system enables the extraction, mapping and evaluation of cockpit color matching schemes, and can be used in color scheme design for other cabins.