DocumentCode :
2328317
Title :
Kansei Feature Analysis for Traditional Crafts
Author :
Ju, Hongli ; Nakamori, Yoshiteru
Author_Institution :
Sch. of Knowledge Sci., Japan Adv. Inst. of Sci. & Technol., Ishikawa, Japan
Volume :
2
fYear :
2011
fDate :
28-30 Oct. 2011
Firstpage :
95
Lastpage :
98
Abstract :
The aesthetic aspect plays a crucial role in human choice, thus studies dealing with subjective (called kansei in Japanese) evaluation and decision support by focusing on customers´ psychological needs and personal taste became very essential. The purpose of the study is to illustrate two similar aggregation methods for multi-criteria analysis of a problem characterized by attributes of heterogeneous types which could be numerical, categorical, or descriptive, respectively. In this specific issue of supporting choice from a given set of traditional crafts in Japan, we are dealing with kansei attributes and kansei data (values of attributes) rather than the normal ones. Our primary purpose is to develop a web-based interactive system to support salesman in a shop or to support internet based selling by recognizing and proposing alternatives which fit the preferences of customers.
Keywords :
Internet; data analysis; decision support systems; interactive systems; set theory; Internet; Kansei attribute; Kansei data; Kansei feature analysis; Web-based interactive system; aesthetic aspect; aggregation method; craft set; customer psychological need; decision support; human choice; multicriteria analysis; personal taste; Aggregates; Decision making; Internet; Open wireless architecture; Pragmatics; Semantics; Vectors; Kansei profile; OWA operator; RFP approach;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Design (ISCID), 2011 Fourth International Symposium on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4577-1085-8
Type :
conf
DOI :
10.1109/ISCID.2011.125
Filename :
6079745
Link To Document :
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