详细信息

A group nonadditive multiattribute consumer-oriented Kansei evaluation model with an application to traditional crafts  ( SCI-EXPANDED收录)  

文献类型:期刊文献

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

作者:Yan, Hong-Bin[1];Van-Nam Huynh[2];Nakamori, Yoshiteru[2]

机构:[1]E China Univ Sci & Technol, Sch Business, Shanghai 200237, Peoples R China;[2]Japan Adv Inst Sci & Technol, Sch Knowledge Sci, Nomi City, Ishikawa 9231292, Japan

年份:2012

卷号:195

期号:1

起止页码:325

外文期刊名:ANNALS OF OPERATIONS RESEARCH

收录:;WOS:【SSCI(收录号:WOS:000305743400016),SCI-EXPANDED(收录号:WOS:000305743400016)】;

基金:This study was supported by SCOPE 102305001 of Ministry of Internal Affairs and Communications (MIC), Japan.

语种:英文

外文关键词:Kansei data; Semantic overlapping; Target-oriented Kansei evaluation; Nonadditive multiattribute Kansei evaluation; Hand-painted Kutani cups

摘要: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.

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