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发信人: roamingo (漫步鸥), 信区: DataMining
标  题: CFP: The 3rd Int'l Conf on Rough Sets and ...
发信站: 南京大学小百合站 (Sun Dec  2 21:44:41 2001), 站内信件

http://www.gv.psu.edu/Conferences/RSCTC2002/Papers.asp
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Call for Papers

Symposium Theme

Rough Set theory was introduced by Zdzislaw Pawlak in the early 80's
and has reached a level of high visibility and maturity.  In recent years, we
 have witnessed diverse, as well as, widespread research in
rough set theory and its applications worldwide.  A considerable
number of applications of rough sets in medicine, economics, finance, busines
s, environment, electrical and computer engineering, a number of sciences, so
ftware engineering, and information science have been
introduced in recent years.  In addition, many rough set case studies and mor
e than a dozen commercial, as well as, research rough set tools are currently
 available.  The biannual international conference on Rough Sets and Current 
Trends in Computing 
(RSCTC) provides researchers from universities, laboratories and industry to 
present
state-of-the-art in rough set theory and its applications.  RSCTC
2002 will also make it possible for researchers and developers to highlight n
ew research directions, new applications, and a growing number of relationshi
ps between rough sets and such areas as computational intelligence, knowledge
 discovery and data 
mining, intelligent information systems, synthesis and analysis of complex ob
jects and non-conventional models of computation.  RSCTC
2002 in the USA will be the third conference of its kind.
This international conference was first held in Warsaw, Poland (RSCTC
1998).  The second international conference was held in Banff, Alberta, Canad
a (RSCTC 2000).  RSCTC grew out of a series of annual
International Workshops devoted to the subject of rough sets held
alternatively in Canada, China, Japan, Poland and the USA. The aim of RSCTC'2
002 is to bring together researchers from diverse fields of
expertise to facilitate dialogue and cooperation.

Relevant topics included, but are not limited to:

Rough set theory and applications
Computational intelligence
Machine learning
Fuzzy set theory and applications
Computing with words
Granular computing
Applications of soft computing
Evolutionary computing
Petri nets and concurrency
Logical aspects of soft computing
Non-classical logic
Neural networks
Complexity aspects of soft computing
Spatial reasoning
Statistical inference
Pattern recognition and image
processing
Multi-criteria decision analysis
Decision support systems
Knowledge discovery and data mining
Multi-agent systems
Web intelligence
Hybrid and integrated intelligent systems
 
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