IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v195y2012i1p325-35410.1007-s10479-010-0826-7.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10479-010-0826-7
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s10479-010-0826-7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    2. 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..
    3. 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.
    4. Robert Bordley & Marco LiCalzi, 2000. "Decision analysis using targets instead of utility functions," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 23(1), pages 53-74.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lucy Gongtao Chen & Daniel Zhuoyu Long & Melvyn Sim, 2015. "On Dynamic Decision Making to Meet Consumption Targets," Operations Research, INFORMS, vol. 63(5), pages 1117-1130, October.
    2. Andrea C. Hupman & Jay Simon, 2023. "The Legacy of Peter Fishburn: Foundational Work and Lasting Impact," Decision Analysis, INFORMS, vol. 20(1), pages 1-15, March.
    3. David B. Brown & Enrico De Giorgi & Melvyn Sim, 2012. "Aspirational Preferences and Their Representation by Risk Measures," Management Science, INFORMS, vol. 58(11), pages 2095-2113, November.
    4. Bordley, Robert F., 2005. "Econophysics and individual choice," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 354(C), pages 479-495.
    5. Xinwei Zhang & Qiong Feng & Shurong Tong & Hakki Eres, 2022. "Multilinear target-based decision analysis with hybrid-information targets and performance levels," Fuzzy Optimization and Decision Making, Springer, vol. 21(4), pages 605-647, December.
    6. Jeffrey M. Keisler & Robert F. Bordley, 2015. "Project Management Decisions with Uncertain Targets," Decision Analysis, INFORMS, vol. 12(1), pages 15-28, March.
    7. 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.
    8. David B. Brown & Melvyn Sim, 2009. "Satisficing Measures for Analysis of Risky Positions," Management Science, INFORMS, vol. 55(1), pages 71-84, January.
    9. LiCalzi, Marco & Sorato, Annamaria, 2006. "The Pearson system of utility functions," European Journal of Operational Research, Elsevier, vol. 172(2), pages 560-573, July.
    10. Alessandra Milazzo & Elena Vigna, 2018. "The Italian Pension Gap: a Stochastic Optimal Control Approach," Carlo Alberto Notebooks 553, Collegio Carlo Alberto.
    11. Ji, Xiangfeng & Chu, Yanyu, 2020. "A target-oriented bi-attribute user equilibrium model with travelers’ perception errors on the tolled traffic network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 144(C).
    12. Marek Hudik, 0. "Equilibrium as compatibility of plans," Theory and Decision, Springer, vol. 0, pages 1-20.
    13. Enrico G. De Giorgi & David B. Brown & Melvyn Sim, 2010. "Dual representation of choice and aspirational preferences," University of St. Gallen Department of Economics working paper series 2010 2010-07, Department of Economics, University of St. Gallen.
    14. Robert Bordley & Marco Licalzi & Luisa Tibiletti, 2017. "A Target-Based Foundation for the “Hard-Easy Effect” Bias," Eurasian Studies in Business and Economics, in: Mehmet Huseyin Bilgin & Hakan Danis & Ender Demir & Ugur Can (ed.), Country Experiences in Economic Development, Management and Entrepreneurship, pages 659-671, Springer.
    15. Alessandro Milazzo & Elena Vigna, 2018. "The Italian Pension Gap: A Stochastic Optimal Control Approach," Risks, MDPI, vol. 6(2), pages 1-20, April.
    16. Durbach, Ian N. & Stewart, Theodor J., 2012. "A comparison of simplified value function approaches for treating uncertainty in multi-criteria decision analysis," Omega, Elsevier, vol. 40(4), pages 456-464.
    17. Jyrki Wallenius & James S. Dyer & Peter C. Fishburn & Ralph E. Steuer & Stanley Zionts & Kalyanmoy Deb, 2008. "Multiple Criteria Decision Making, Multiattribute Utility Theory: Recent Accomplishments and What Lies Ahead," Management Science, INFORMS, vol. 54(7), pages 1336-1349, July.
    18. Chernonog, Tatyana & Avinadav, Tal, 2014. "Profit criteria involving risk in price setting of virtual products," European Journal of Operational Research, Elsevier, vol. 236(1), pages 351-360.
    19. Avinadav, Tal & Chernonog, Tatyana & Perlman, Yael, 2014. "Analysis of protection and pricing strategies for digital products under uncertain demand," International Journal of Production Economics, Elsevier, vol. 158(C), pages 54-64.
    20. Dmitriy Volinskiy & Michele Veeman & Wiktor Adamowicz, 2011. "Allocation of public funds to R&D: a portfolio choice-styled decision model and a biotechnology case study," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 34(2), pages 121-139, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:annopr:v:195:y:2012:i:1:p:325-354:10.1007/s10479-010-0826-7. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.