Sensory evaluation system based on KANSEI self-tuning spline fuzzy inference (acquisition of KANSEI for persimmon)

Author

Fukuda, Toshio ; Chikazawa, Tomoya ; Hasegawa, Yasuhisa ; Kobayashi, Futoshi ; Shimojima, Koji ; Yamaguchi, Yuji

Author_Institution

Center for Cooperative in Adv. Sci. & Technol., Nagoya Univ., Japan

Volume

3

fYear

1999

fDate

22-25 Aug. 1999

Firstpage

1498

Abstract

The human brain mainly performs two kinds of information processes, intelligent process and KANSEI process. KANSEI is used for the sensory test or evaluation in various fields to estimate human feeling. It is however hard to evaluate objects using KANSEI, because KANSEI includes individual subjectivity, vagueness, is many-sided, and depends on time and situation. In the paper, we propose an expression method of KANSEI. This proposed method use self-tuning fuzzy inference based on a spline membership function to express individual KANSEI. To show the effectiveness of the proposed system, we applied this method to the evaluation of ripeness of persimmons. This method will be suitable for various kinds of sensory evaluating systems.

Keywords

fuzzy logic; image processing; inference mechanisms; learning (artificial intelligence); self-adjusting systems; splines (mathematics); KANSEI self-tuning spline fuzzy inference; persimmons; ripeness; sensory evaluation system; Artificial intelligence; Data mining; Fuzzy systems; Humans; Intelligent sensors; Mechanical systems; Modems; Proposals; Spline; System testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems Conference Proceedings, 1999. FUZZ-IEEE '99. 1999 IEEE International

Conference_Location

Seoul, South Korea

ISSN

1098-7584

Print_ISBN

0-7803-5406-0

Type

conf

DOI

10.1109/FUZZY.1999.790126

Filename

790126