Modeling of Sensory Evaluation for Interior Tiles Using a Fuzzy Neural Network.

• HANAI TAIZO

  Department of Biotechnology, Graduate School of Engineering, Nagoya University

• ANDO KAZUNORI

  Department of Biotechnology, Graduate School of Engineering, Nagoya University

• NOGUCHI HIDEKI

  Department of Biotechnology, Graduate School of Engineering, Nagoya University

• HONDA HIROYUKI

  Department of Biotechnology, Graduate School of Engineering, Nagoya University

• TAKAI CHIYO

  Space Design & Technical Laboratory, INAX Corp.

• FURUHASHI TAKESHI

  Department of Information Electronics, Graduate School of Engineering, Nagoya University

• UCHIKAWA YOSHIKI

  Department of Information Electronics, Graduate School of Engineering, Nagoya University

• KOBAYASHI TAKESHI

  Department of Biotechnology, Graduate School of Engineering, Nagoya University

Bibliographic Information

Other Title

• ファジィニューラルネットワークによる内装タイルの官能評価モデリング
• ファジィ ニューラル ネットワーク ニヨル ナイソウ タイル ノ カンノウ ヒ

Abstract

In order to construct a novel design method for interior tiles, the relationship between image words (sensory evaluation) and total evaluation 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 model could estimate the total evaluation more correctly than the MRA model. Secondly, a FNN model for the estimation of the total evaluation from 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 estimation, a FNN model for estimation of the total evaluation from both analytical data and image words was constructed. This model showed the highest accuracy among all models. “Jyouhinna-gehinna”, “shareta-yabona” among image words and “average value of green color”, “arithmetical mean deviation”, “peak count” among analytical data were needed to construct the model for estimation of the total evaluation.

Journal

• KAGAKU KOGAKU RONBUNSHU

  KAGAKU KOGAKU RONBUNSHU 24 (1), 18-23, 1998

  The Society of Chemical Engineers, Japan

Keywords

• sensory modeling
• fuzzy neural network
• total evaluation
• sensory evaluation
• interior tile

Details

• CRID: 1390282679485396224
• NII Article ID: 10002834853
• NII Book ID: AN00037234
• DOI: 10.1252/kakoronbunshu.24.18
• COI: 1:CAS:528:DyaK1cXmslSmtA%3D%3D
• ISSN: 13499203
• ISSN: 0386216X
• ISSN: http://id.crossref.org/issn/0386216X
• NDL BIB ID: 4380937
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I4380937
• Web Site: http://www.jstage.jst.go.jp/article/kakoronbunshu1975/24/1/24_1_18/_pdf
• Text Lang: ja
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
• Abstract License Flag: Disallowed