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Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/8832

Title: Kansei evaluation based on prioritized multi-attribute fuzzy target-oriented decision analysis
Authors: Yan, Hong-Bin
Huynh, Van-Nam
Murai, Tetsuya
Nakamori, Yoshiteru
Keywords: Kansei evaluation
Fuzzy target-oriented decision analysis
Prioritized aggregation
Traditional crafts
Issue Date: 2008-11
Publisher: Elsevier
Magazine name: Information Sciences
Volume: 178
Number: 21
Start page: 4080
End page: 4093
DOI: 10.1016/j.ins.2008.06.023
Abstract: This paper deals with Kansei evaluation focusing on consumers' psychological needs and personal taste. To do so, a preparatory study is conducted beforehand to obtain Kansei data of the products to be evaluated, in which products are assessed according to Kansei attributes by means of the semantic differential method and linguistic variables. These Kansei data are then used to generate Kansei profiles for evaluated products by means of the voting statistics. As consumers' preferences on Kansei attributes of products vary from person to person and target-oriented decision analysis provides a good description of individual preference, the target-oriented decision analysis has been used and extended to quantify how well a product meets consumers' preferences. Due to the vagueness and uncertainty of consumers' preferences, three types of fuzzy targets are defined to represent the consumers' preferences. Considering the priority order of Kansei attributes specified by consumers, a so-called prioritized scoring aggregation operator is utilized to aggregate the partial degrees of satisfaction for the evaluated products. As the aesthetic aspect plays a crucial role in human choice of traditional crafts, an application to evaluate Kanazawa gold leaf, a traditional craft in Ishikawa, Japan, has also been provided to illustrate how the proposed model works in practice.
Rights: NOTICE: This is the author's version of a work accepted for publication by Elsevier. Hong-Bin Yan, Van-Nam Huynh, Tetsuya Murai and Yoshiteru Nakamori, Information Sciences, 178(21), 2008, 4080-4093, http://dx.doi.org/10.1016/j.ins.2008.06.023
URI: http://hdl.handle.net/10119/8832
Material Type: author
Appears in Collections:a10-1. 雑誌掲載論文 (Journal Articles)

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