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Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/9566

Title: A comparative study of target-based evaluation of traditional craft patterns using kansei data
Authors: Huynh, Van-Nam
Nakamori, Yoshiteru
Yan, Hongbin
Keywords: Target-based evaluation
Decision analysis
Personalized recommendation
Kansei data
Japanese traditional crafts
Issue Date: 2010
Publisher: Springer
Magazine name: Lecture Notes in Computer Science
Volume: 6291/2010
Start page: 160
End page: 173
DOI: 10.1007/978-3-642-15280-1_17
Abstract: Evaluation for ranking is very useful for users in their decision-making process when they want to select some item(s) from a large number of items using their personal preferences. In this paper, we will focus on the evaluation of Japanese traditional crafts, in which product items are assessed according to the so-called Kansei features by means of the semantic differential method. In particular, two decision analysis based evaluation procedures, which take consumer-specified preferences on kansei features of traditional products into consideration, will be discussed and compared.
Rights: This is the author-created version of Springer, Van-Nam Huynh, Yoshiteru Nakamori, and Hongbin Yan, Lecture Notes in Computer Science, 6291/2010, 2010, 160-173. The original publication is available at www.springerlink.com, http://dx.doi.org/10.1007/978-3-642-15280-1_17
URI: http://hdl.handle.net/10119/9566
Material Type: author
Appears in Collections:a10-1. 雑誌掲載論文 (Journal Articles)

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