Fuzzy Target-Based Multi-feature Evaluation of Traditional Craft Products

  • Van-Nam Huynh
  • Hongbin Yan
  • Mina Ryoke
  • Yoshiteru Nakamori
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7091)


This paper introduces our research work in fuzzy target-oriented decision analysis and its application to kansei-based evaluation of traditional crafts. After a brief introduction into fuzzy target-oriented decision analysis, we formulate a general target-oriented approach to multi-attribute evaluation problem for personalized recommendation. The central idea of this approach is to first interpret a particular user’s request as a target (or benchmark) at which the user would be only interested in candidates meeting this target, and then use a combination of target-oriented decision analysis and aggregation operators for defining an evaluation function that quantifies how well a candidate meets the user’s target. As for illustration, we will introduce a target-based evaluation method for multi-feature ranking of traditional craft products using kansei data and preferences specified by consumers, where product items are assessed according to the so-called kansei features, and kansei data are treated as categorical data.


Order Weighted Average Personalized Recommendation Order Weighted Average Operator Opposite Pair Japan Advance Institute 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Van-Nam Huynh
    • 1
  • Hongbin Yan
    • 2
  • Mina Ryoke
    • 3
  • Yoshiteru Nakamori
    • 1
  1. 1.School of Knowledge ScienceJapan Advanced Institute of Science and TechnologyNomiJapan
  2. 2.East China University of Science and TechnologyP.R. China
  3. 3.University of TsukubaBunkyoJapan

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