Analysis and Synthesis of Kansei Information for Pearl Quality Evaluation

Abstract

Kansei Information Processing, which began with imitating human sensibilities, has come to be useful recently in several fields. The authors have so far made various approaches to apply Kansei Information Processing to pearl quality evaluation which needs highly polished sensibility expertise of inspectors. This paper presents several analytical and synthetic methods for Kansei information in developing the pearl quality evaluation system, including psychological evaluation, a factors identification method using sensitivity analysis of layered neural networks, a visual simulator which can form a virtual pearl sample in order to verify and correct the analytical results, and configuration of a psychological scale of essential quality of pearl.