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A Probability-Based Approach to Consumer Oriented Evaluation of Traditional Craft Items Using Kansai Data

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Part of the book series: Advances in Soft Computing ((AINSC,volume 46))

Summary

This paper deals with the evaluation problem of Japanese traditional crafts in which product items are evaluated according so-called kansei features by means of the semantic differential method. As for traditional crafts, decisions on which items to buy or use are usually influenced by personal feelings/characteristics, we shall propose a consumer-oriented evaluation model targeting on those recommendation requests specified by consumers. Particularly, given a consumer’s recommendation request, the proposed model aims at defining an evaluation function that quantifies how well a product item meets the consumer’s feeling preference. An application for evaluating patterns of Kutani porcelain is conducted to illustrate how the proposed evaluation model works practically.

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Van-Nam Huynh Yoshiteru Nakamori Hiroakira Ono Jonathan Lawry Vkladik Kreinovich Hung T. Nguyen

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Yan, H., Huynh, V.N., Nakamori, Y. (2008). A Probability-Based Approach to Consumer Oriented Evaluation of Traditional Craft Items Using Kansai Data. In: Huynh, VN., Nakamori, Y., Ono, H., Lawry, J., Kreinovich, V., Nguyen, H.T. (eds) Interval / Probabilistic Uncertainty and Non-Classical Logics. Advances in Soft Computing, vol 46. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77664-2_25

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  • DOI: https://doi.org/10.1007/978-3-540-77664-2_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-77663-5

  • Online ISBN: 978-3-540-77664-2

  • eBook Packages: EngineeringEngineering (R0)

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