A FUZZY-LOGIC ANALYSIS METHOD FOR EVALUATING HUMAN SENSITIVITIES

被引：49

作者：

SHIMIZU, Y

JINDO, T

机构：

[1] Vehicle Research Center, Nissan General Research Institute, Yokosuka, Kanagawa Prefecture, 237, 1, Natsujima-cho

来源：

INTERNATIONAL JOURNAL OF INDUSTRIAL ERGONOMICS | 1995年 / 15卷 / 01期

关键词：

FUZZY THEORY; EVALUATION; REGRESSION ANALYSIS; SENSATION OF TEMPERATURE;

D O I：

10.1016/0169-8141(95)91249-A

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

As a basic research tool for modeling human sensitivity, we have developed a program for analyzing sensitivity evaluation data using a fuzzy regression method. This takes into account the ambiguities and nonlinearity of human sensations and thus provides a method for quantifying their correlations with physical characteristics. This was applied to a study of thermal sensation in a vehicle interior. Optimum membership functions were obtained that show the nonlinear relationship between each physical variable (e.g., air flow velocity, temperature and sun load) and thermal sensation. When a fuzzy regression analysis was performed using the membership functions, it was found that 85% of the evaluation scores that human subjects gave to various thermal sensations were included within the range of the estimated values.

引用

页码：39 / 47

页数：9