Second call for papers
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*FUZZ-IEEE 2001 Workshop on Modelling with Words,*
* Melbourne, Australia, Dec. 2001 *
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This workshop will provide a forum to share research on the emerging field
of "modelling with words", a field at the intersection of fuzzy
information granulation and machine learning. This field has built upon
the computing with words paradigm originally introduced by Zadeh to
capture the idea of computation based on linguistic terms rather than
numerical quantities. However, where computing with words has focused on
inference from linguistic knowledge bases, the focus of modelling with
words has been in acquiring/learning such models. One of the
distinguishing features of this new field is that it decomposes
information spaces into imprecise regions or fuzzy granules that are
subsequently used to model systems. These models may either be learnt from
example data or provided by human experts or a combination of both. In
fact, the fusion of these sources of information plays a central role in
modelling with words. Typically, the acquired systems aggregate the
granular information using probabilistic or fuzzy logic reasoning
techniques.
Recent work has demonstrated (with approaches such as fuzzy decision
trees, Cartesian granule feature modelling, weighted rules and fuzzy
prototyping) that the modelling with words paradigm enhances both model
tractability and transparency on the one hand and generalisation power on
the other. To-date, however, this work has typically been limited to small
world problems (with tens of features/attributes/variables). One of the
key challenges that lies ahead for this paradigm is the issue of
scalability to large problem domains (such as text categorisation). In
scaling these approaches, how can transparency be maintained and possibly
enhanced? The need to model larger scale and more complex systems in a
transparent way necessitates the development of feature selection
techniques as well as other methods of finding appropriate sub-models and
then combining them. Other issues that need further research include which
words can be used to partition information spaces? Are there limits on the
granularity? How can granular models be merged? Can this paradigm
accommodate incremental learning? What is the best formal framework for
learning and representing linguistic models?
It is hoped that the submissions to this workshop will address these and
other issues that provide not only a challenge for the paradigm modelling
with words, but also an interesting future for this field. Both
theoretical and applied contributions are welcome (examples of problem
domains include information retrieval, computer vision, decision support
systems, profiling etc.)
Invited Speakers include Paul P Wang (Duke University) and Qiang Shen
(University of Edinburgh)
IMPORTANT DATES:
Extended Abstract Submission: June 1, 2001
Notification of Acceptance: August 1, 2001
Final Paper Submission Due: September 1, 2001
Workshop Dates: December 2/3, 2001
SUBMISSION DETAILS
Please follow the guidelines for paper submission
outlined by IEEE at http://www.ieee.org/. Final paper submissions must not
exceed 6 printed pages, including all figures and tables.
Papers should be sent in postscript or pdf format to either
j.lawry@bris.ac.uk or Shanahan@xrce.xerox.com. Alternatively, hard copies
should be sent to either of the organisers at the addresses shown below
A Special Issue of the journal Information Sciences is planned consisting
of extended versions of selected papers from the workshop.
Organizing and Program Committee
Jonathan Lawry
Department of Engineering Mathematics University of Bristol, BS8 1TR, UK
E-mail: J.Lawry@bris.ac.uk Tel: +44-117-9288184
Fax: +44-117-9251154
James G. Shanahan
Xerox Research Centre Europe (XRCE) Grenoble Laboratory
6 chemin de Maupteruis, 38240 Meylan, France e-mail:
Shanahan@xrce.xerox.com Tel: +33-476-615113 Fax: +33-476-615099
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