MODELING OF SENSORY EVALUATION FOR INTERI OR TILES USING A FUZZY NEURAL-NETWORK

In order to construct a novel design method for interior tiles, the re lationship between image words (sensory evaluation) and total evaluati on for interior tiles was studied. At first, the model for estimation of the total evaluation from image words was constructed using a fuzzy neural network (FNN) and MRA (multi regression analysis). The FNN mod el could estimate the total evaluation more correctly than the MRA mod el. Secondly, a FNN model for the estimation of the total evaluation f rom analytical data for interior tiles was constructed. This model was less accurate than the FNN model from image words, but could estimate within 10% errors. Lastly, in order to improve accuracy of the estima tion, a FNN model for estimation of the total evaluation from both ana lytical data and image words was constructed. This model showed the hi ghest accuracy among all models. ''Jyouhinna-gehinna'', ''shareta-yabo na'' among image words and ''average value of green color'', ''arithme tical mean deviation'', ''peak count'' among analytical data were need ed to construct the model for estimation of the total evaluation.