Title: Department of Computer Science Seminar
Date:  Tuesday, 11 March 2003
Time:  2:00 pm to 3:00 pm
Venue: Room N101, CSIT Building [108]


Speaker: Prof. Tom Gedeon (Murdoch University, Perth)

Title:   Information Compression in Fuzzy Systems


Abstract:
  Fuzzy expert systems built with linguistic rules (which reflect
  uncertainty, or vagueness of concepts in natural language) have
  wide potential application where human expertise is difficult to
  express in crisp mathematical form.
  
  For real problems many rules are required, which takes too much
  computing time to solve any but the simplest problems. We are
  developing techniques to reduce the number of rules required,
  and to partition them for more efficient computation. This will
  lead to a much wider range of applications of fuzzy systems, and
  reduce their computation costs significantly.
  
  In this talk I introduce the problem and sketch our overall
  solution, and discuss extensions to fuzzy interpolation. These
  extensions guarantee well formed conclusions, which is essential
  for multi-stage fuzzy reasoning. Finally, I will place this work
  in context with the rest of my research, and with my future
  research plans.


Biography:
  Tom Gedeon did his BSc(Hons) and PhD at the Uni. of W.A. in program
  transformation, and did a Grad. Dip. in Management at the Uni. of
  N.S.W. He has worked at Brunel Uni. in London, where he won a TEMPUS
  joint european IT Curriculum Develoment project in Eastern Europe;
  at Uni. of N.S.W. where with the Hollows Foundation we attracted an
  AusAID project to set up a College of Engineering at the Uni. of
  Asmara in Africa; and Murdoch Uni. where he was founding director of
  the Interactive Media institute.
  His research is in the area of automated extraction and synthesis of
  humanly useful information from complex real world information sources.
  Techniques used include neural networks and fuzzy systems. He is an
  Associate Editor of the IEEE Transactions for Neural Networks, and has
  2 current major ARC grants in Fuzzy Systems.


URL: http://cs.anu.edu.au/lib/seminars/seminars03/dept20030311