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SUMMARY:Many Criteria Decision Making in Control and Systems Design - Prof
 essor Peter Fleming\, University of Sheffield
DTSTART:20091028T163000Z
DTEND:20091028T173000Z
UID:TALK20521@talks.cam.ac.uk
CONTACT:Tiziano Ghisu
DESCRIPTION:Peter Fleming is Chair of Industrial Systems and Control in th
 e Department of Automatic Control and Systems Engineering and Director of 
 the Rolls-Royce University Technology Centre for Control and Systems Engin
 eering at the University of Sheffield\, UK. His control and systems engine
 ering research interests include control system design\, health monitoring
 \, multi-criteria decision-making\, optimisation and scheduling\, and appl
 ications of e-Science. Further details may be found at http://www.shef.ac.
 uk/acse/staff/peter_fleming \n\nAbstract: Design problems arising in contr
 ol and systems can often be conveniently formulated as multi-criteria deci
 sion-making problems. However\, these often comprise a relatively large nu
 mber of criteria. Through close association with designers in industry a r
 ange of machine learning tools and associated techniques have been devised
  to address the special requirements of many-criteria decision-making. The
 se include visualisation and analysis tools to aid the identification of f
 eatures such as “hot-spots” and non-competing criteria\, preference ar
 ticulation techniques to assist in interrogating the search region of inte
 rest and methods to address the special computational demands of these pro
 blems. Test problems and real design exercises will demonstrate these appr
 oaches.
LOCATION:arthur marshall's meeting room (next to EDC loft)\, Inglis Buildi
 ng\, Engineering Department
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