Abstract
This paper proposes a new framework of an instrumentation technique, which deals with human sensibility called “Kansei”, for industrial field, and reports two trials based on this framework to extract factors which decide quality of pearls. This framework consists of three stages. In the first stage, factors are extracted by analysing the responses of human experts. In the second stage, the sensing system is tentatively designed based on the factors, that is for example, to be tuned parameters using the values of proportions. In the last stage, the responses of this system are compared with those of human experts, and the differences are feedback to the first and second stages. Then the system gradually approaches human experts.
As a result of our trials in the first stage, several important factors have been extracted by using multivariate analysis and the neural networks.