Host: Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT)
This study aims at constructing quality evaluation system of fresh fish. The appearance evaluation of fresh cephalopoda by an auctioneer of fish market was analyzed by statistical technique, and the relationship between the quality of the fish meat was examined. Some useful variables which show the color of fish body were extracted, and the fuzzy inference model which evaluates the quality of the fish using these variables was constructed. A moderate agreement between the simulated results and experiments is obtained, which implies the usefulness of the present system.
