Y. Shimizu et T. Jindo, A FUZZY-LOGIC ANALYSIS METHOD FOR EVALUATING HUMAN SENSITIVITIES, International journal of industrial ergonomics, 15(1), 1995, pp. 39-47
As a basic research tool for modeling human sensitivity, we have devel
oped a program for analyzing sensitivity evaluation data using a fuzzy
regression method. This takes into account the ambiguities and nonlin
earity 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 l
oad) and thermal sensation. When a fuzzy regression analysis was perfo
rmed using the membership functions, it was found that 85% of the eval
uation scores that human subjects gave to various thermal sensations w
ere included within the range of the estimated values.