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[½»Á÷] ¡¾2009-07-10¡¿µÚ¶þ½ì¼ÆËãÖÇÄÜÓëÉè¼Æ¹ú¼ÊѧÊõÑÐÌÖ»áISCID 2009

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ÂÛÎÄÌá½»µØÖ·: http://www.iscid-conf.org/submission

ISCID 2009×éί»á.

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»áÒéÃû³Æ£¨Ó¢ÎÄ£©£º 2009 International Symposium on Computational Intelligence and Design  
ËùÊôѧ¿Æ£º ÐÅÏ¢¿ÆÑ§Óëϵͳ¿ÆÑ§¡¡ ¹¤³ÌÓë¼¼Êõ¿ÆÑ§»ù´¡Ñ§¿Æ¡¡ µç×Ó¡¢Í¨ÐÅÓë×Ô¶¯¿ØÖƼ¼Êõ¡¡ ¼ÆËã»ú¿ÆÑ§¼¼Êõ¡¡  

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Ö÷°ìµ¥Î»£º Bristol University
Э°ìµ¥Î»£º City University of Hong Kong
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»áÒéÖ÷ϯ£º Prof. Jonathan Lawry, Bristol University, UK
×é֯ίԱ»áÖ÷ϯ£º Prof. Yongchuan Tang, Zhejiang University, China  
³ÌÐòίԱ»áÖ÷ϯ£º Prof. Yongyong He, Tsinghua University, China
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»áÒéÍøÕ¾£º http://www.iscid-conf.org
»áÒé±³¾°½éÉÜ£º On behalf of the successful symposium- ISCID 2008, the organizing committee and our local organizers wish to extend to you our personal welcome to attend the 2009 International Symposium on Computational Intelligence and Design (ISCID¡¯09) which will be held at Changsha, China in 12-14, December 2009 . It provides three day¡¯s focus on the science and technology that are the basis for the computational intelligence and design.

Õ÷ÎÄ·¶Î§¼°ÒªÇó£º Computational Intelligence
Rough set theory and applications
Fuzzy set theory and applications
Fuzzy-rough, rough-fuzzy and beyond
Approximate and uncertain reasoning
Case-based reasoning
Computing with words
Evolutionary computing
Granular computing
Natural Computing
Affective Computing
Hybrid and integrated intelligent systems
Multi-agent systems
Multi-criteria decision support
Neural networks
Non-classical logic
Pattern recognition and image processing
Petri nets and concurrency
Spatial reasoning
Statistical inference
Web intelligence

Intelligent information systems
Decision support systems  
Bioinformatics
Knowledge discovery and data mining

Industrial Design
User Modeling
Affective design and human-centered design   
Product positioning and product line/portfolio planning   
Customer preference and customer value assessment   
Customer behavior and interaction with product attributes   
Mass customization and personalization   
Customer involvement and product definition   
Customer needs elicitation and requirements acquisition   
Product proliferation and variety management   
Customer requirement lifecycle management   
Requirement modeling, language and supporting tools   
New strategies, business models, enabling technologies.
Ergonomics
Kansei engineering and Kansei science   
Customer decision-making and choice models

[ Last edited by ŬÁ¦×Å on 2009-6-20 at 21:31 ]

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