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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/76744


    Title: Creative design by bipartite keygraph based interactive evolutionary computation
    Authors: Hong, C.-F.;Yang, Hsiao-Fang;Lin, Mu-Hua;Lin, G.-S.
    楊筱芳
    Contributors: 資管系
    Keywords: Computer aided design;Data reduction;Graph theory;Interactive computer systems;Marketing;Bipartite keygraph;Interactive data;Interactive design;Evolutionary algorithms
    Date: 2006
    Issue Date: 2015-07-21 15:06:00 (UTC+8)
    Abstract: Kotler and Trias De Bes (2003) at Lateral Marketing said that in customer`s designing process the creativity as a kind of lateral transmitting. It meant that the customer would be stimulated by new need to discover a new concept, which could be merged into his design. Therefore, in designing process how to help the designer quickly designed a creative product that was the important problem. The other was that in interactive creative design the designer had to face the fatigue problem. In this paper, we developed a Bipartite KeyGraph based Interactive Evolutionary Computation (BiKIEC), which could collect the interactive data and ran the KeyGraph analysis to find the key components (chancel). And then the bipartite analysis was used to discover the chance2. Finally, the chance3 was the probability for entering the shot-cut in Small World. The BiKIEC emerged some creative components for helping designer designed the creative product. After analyzing the designer interactive data, we found that the product was created by chance mechanism, which was quickly accepted by designer in his design process. Furthermore, the questionnaire results also indicated that the BiKIEC could significantly help the designer to design his favorite product. Therefore, the BiKIEC was a useful tool for helping the designer discovered his creative chance in interactive design process. © Springer-Verlag Berlin Heidelberg 2006.
    Relation: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Volume 4253 LNAI - III, Pages 46-56
    Data Type: conference
    Appears in Collections:[Department of MIS] Proceedings

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