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Brand Name Decision AI System

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Proceedings of the 7th International Conference on Kansei Engineering and Emotion Research 2018 (KEER 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 739))

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Abstract.

The Brand Decision AI System (WIDIAS-III) was completed in 1992 and been used to decide a Brand Name of a product for the customers to feel joyful and motive to buy it. We first survey the mouth structure, which we utter words through, and built a words utterance fuzzy model. After survey a lot of words feeling by forty words scaling. Finally, we make an AI model a brand name to recognize any words by 40 words scaling system.

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References

  1. Nagamachi, M., Matsubara, Y.: Kansei Engineering research on sound of words, SICE, 845-846, 1992.

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  2. Nagamachi, M.: Kansei engineering on sound of words, Jap.J. of Acoustic Society, Vol. 49, No. 9 (3), 638-644, 1993,

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  3. Nagamachi, M.: Kansei Engineering, Kaibundo Publishing, Tokyo (1989).

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  4. Nagamachi, M., Lokman, A.M.: Kansei Innovation; Practical Design Applications for Product and Service Development, CRC Press, Yew York, USA. (2015).

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  5. Nagamachi, M., Fujimoto, A.: Development of a Japanese Apricot Jerry using Cause–Effect Diagram, Japanese J. of Ergonomics, 2017(in print).

    Google Scholar 

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Author information

Authors and Affiliations

  1. Hiroshima University, Hiroshima, Japan

    M. Nagamachi

  2. Hiroshima City University, Hiroshima, Japan

    Y. Matsubara

  3. Sumitomo Engineering, Singapore, Singapore

    H. Maeda

  4. Paionia,Co, Paonia, USA

    T. Ohgama

Authors
  1. M. Nagamachi
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  2. Y. Matsubara
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  3. H. Maeda
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  4. T. Ohgama
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Corresponding author

Correspondence to M. Nagamachi .

Editor information

Editors and Affiliations

  1. Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia

    Anitawati Mohd Lokman

  2. Faculty of Art and Design, University of Tsukuba, Tsukuba, Ibaraki, Japan

    Toshimasa Yamanaka

  3. Department of Industrial Design, Eindhoven University of Technology, Eindhoven, The Netherlands

    Pierre Lévy

  4. College of Communication and Design, I-Shou University, Kaohsiung, Kao-hsiung, Taiwan

    Kuohsiang Chen

  5. School of Art and Design, University of Tsukuba, Tsukuba, Ibaraki, Japan

    Shinichi Koyama

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© 2018 Springer Nature Singapore Pte Ltd.

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Nagamachi, M., Matsubara, Y., Maeda, H., Ohgama, T. (2018). Brand Name Decision AI System. In: Lokman, A., Yamanaka, T., Lévy, P., Chen, K., Koyama, S. (eds) Proceedings of the 7th International Conference on Kansei Engineering and Emotion Research 2018. KEER 2018. Advances in Intelligent Systems and Computing, vol 739. Springer, Singapore. https://doi.org/10.1007/978-981-10-8612-0_5

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  • DOI: https://doi.org/10.1007/978-981-10-8612-0_5

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-8611-3

  • Online ISBN: 978-981-10-8612-0

  • eBook Packages: EngineeringEngineering (R0)

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