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A group nonadditive multiattribute consumer-oriented Kansei evaluation model with an application to traditional crafts

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  • Hong-Bin Yan
  • Van-Nam Huynh
  • Yoshiteru Nakamori

Abstract

The aesthetic aspects of products have become critical factors in achieving higher consumer satisfaction. This study deals with evaluation of commercial products according to the Kansei, which is an individual subjective impression reflecting the aesthetic appeal of products. To do so, we have proposed a three-phase group nonadditive multiattribute Kansei evaluation model. Particularly, a novel approach is first proposed to generate Kansei profiles involving fuzzy uncertainty as well as semantic overlapping of Kansei data. Second, a target-oriented Kansei evaluation function is proposed to induce Kansei satisfaction utility according to a consumer’s personal Kansei preference, which provides a good description of the consumer’s preference. Third, after formulating a general multiattribute target-oriented (MATO) Kansei evaluation function, a nonadditive MATO Kansei evaluation function is proposed based on an analogy between the general MATO Kansei evaluation function and the Choquet integral, in which an entropy-based method is utilized to estimate the fuzzy measure on a subset of Kansei attributes. The main advantages of our model are its abilities to deal with semantic overlapping of Kansei data, different types of personalized Kansei preferences, as well as mutual dependence among multiple Kansei preferences. An application to Kansei evaluation for hand-painted Kutani cups, one of the traditional craft items in Japan, is conducted to illustrate how our model works as well as its effectiveness and advantages. Copyright Springer Science+Business Media, LLC 2012

Suggested Citation

  • Hong-Bin Yan & Van-Nam Huynh & Yoshiteru Nakamori, 2012. "A group nonadditive multiattribute consumer-oriented Kansei evaluation model with an application to traditional crafts," Annals of Operations Research, Springer, vol. 195(1), pages 325-354, May.
  • Handle: RePEc:spr:annopr:v:195:y:2012:i:1:p:325-354:10.1007/s10479-010-0826-7
    DOI: 10.1007/s10479-010-0826-7
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    References listed on IDEAS

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    1. Lai, Hsin-Hsi & Lin, Yang-Cheng & Yeh, Chung-Hsing & Wei, Chien-Hung, 2006. "User-oriented design for the optimal combination on product design," International Journal of Production Economics, Elsevier, vol. 100(2), pages 253-267, April.
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    3. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    4. Ilia Tsetlin & Robert L. Winkler, 2007. "Decision Making with Multiattribute Performance Targets: The Impact of Changes in Performance and Target Distributions," Operations Research, INFORMS, vol. 55(2), pages 226-233, April.
    5. Yadav, Om Prakash & Goel, Parveen S., 2008. "Customer satisfaction driven quality improvement target planning for product development in automotive industry," International Journal of Production Economics, Elsevier, vol. 113(2), pages 997-1011, June.
    6. Robert F. Bordley & Craig W. Kirkwood, 2004. "Multiattribute Preference Analysis with Performance Targets," Operations Research, INFORMS, vol. 52(6), pages 823-835, December.
    7. Chen, Chun-Chih & Chuang, Ming-Chuen, 2008. "Integrating the Kano model into a robust design approach to enhance customer satisfaction with product design," International Journal of Production Economics, Elsevier, vol. 114(2), pages 667-681, August.
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    Cited by:

    1. Yan, Hong-Bin & Ma, Tieju & Huynh, Van-Nam, 2017. "On qualitative multi-attribute group decision making and its consensus measure: A probability based perspective," Omega, Elsevier, vol. 70(C), pages 94-117.
    2. Zhibin Wu & Jiuping Xu & Zeshui Xu, 2016. "A multiple attribute group decision making framework for the evaluation of lean practices at logistics distribution centers," Annals of Operations Research, Springer, vol. 247(2), pages 735-757, December.
    3. Hong-Bin Yan & Tieju Ma & Songsak Sriboonchitta & Van-Nam Huynh, 2017. "A stochastic dominance based approach to consumer-oriented Kansei evaluation with multiple priorities," Annals of Operations Research, Springer, vol. 256(2), pages 329-357, September.

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