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Kansei Engineering and Rough Sets Model

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Rough Sets and Current Trends in Computing (RSCTC 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4259))

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Abstract

M. Nagamachi founded Kansei Engineering at Hiroshima University about 30 years ago and it has spread out in the world as an ergonomic consumer-oriented product development. The aim of the kansei engineering is to develop a new product by translating a customer’s psychological needs and feeling (kansei) concerning it into design specifications. The kansei data are analyzed by a multivariate statistical analysis to create the new products so far, but the kansei data not always have linear features assumed under the normal distribution. Rough sets theory is able to deal with any kind of data, irrespective of linear or non-linear characteristics of the data. We compare the results based on statistical analysis and on Rough Sets Theory.

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References

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Author information

Authors and Affiliations

  1. User Science Institute, Kyushu University, Fukuoka, 815-8540, Japan

    Mitsuo Nagamachi

Authors
  1. Mitsuo Nagamachi
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Editor information

Editors and Affiliations

  1. Faculty of Economics, University of Catania, Corso Italia, 55, 95129, Catania, Italy

    Salvatore Greco

  2. Graduate School of Engineering, Department of Electrical Engineering and Computer Sciences, University of Hyogo, 2167 Shosha, 671-2280,, Himeji, Hyogo, Japan

    Yutaka Hata

  3. Department of Medical Informatics, Faculty of Medicine, Shimane University, 89-1 Enya-cho, Izumo, 693-8501, Shimane, Japan

    Shoji Hirano

  4. Department of Systems Innovation, Graduate School of Engineering Science, Osaka University, 1-3, Machikaneyama, Toyonaka, 560-8531, Osaka, Japan

    Masahiro Inuiguchi

  5. Department of Risk Engineering, School of Systems and Information Engineering, University of Tsukuba, 305-8573, Ibaraki, Japan

    Sadaaki Miyamoto

  6. Institute of Mathematics, Warsaw University, Banacha 2, 02-097, Warsaw, Poland

    Hung Son Nguyen

  7. Systems Research Institute, Polish Academy of Sciences, 01-447, Warsaw, Poland

    Roman Słowiński

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© 2006 Springer-Verlag Berlin Heidelberg

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Nagamachi, M. (2006). Kansei Engineering and Rough Sets Model. In: Greco, S., et al. Rough Sets and Current Trends in Computing. RSCTC 2006. Lecture Notes in Computer Science(), vol 4259. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11908029_4

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  • DOI: https://doi.org/10.1007/11908029_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-47693-1

  • Online ISBN: 978-3-540-49842-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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