Interval methods
are naturally related to fuzzy research:
Many operations with fuzzy numbers
can be naturally
implemented as operations with their alpha-cuts (i.e., intervals);
not surprizingly, interval arithmetic is described in most modern
textbooks on fuzzy logics and fuzzy systems;
In many cases, it is more natural to
use not numbers
but intervals to describe the values of membership functions; the
resulting interval-valued fuzzy sets are very helpful in expert
systems, fuzzy control, pattern recognition, etc.
Last but not the least: the interest
in using interval methods is being
revived by the Zadeh's idea of "granularity" as a unifying theme
for several formalisms, including fuzzy and interval methods.
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There is a growing interest in interval methods:
Talks on interval methods in
knowledge representation are
actively present both at conferences in Interval Computations
and at conferences on Fuzzy Systems. Several relevant
workshops and special sections have been organized: e.g., during the
1993 Interval Computations conference, the 1994 NASA/NAFIPS, etc.
New papers appear all the time in
journals and conference proceedings:
the recently started special section on interval methods
in IJUFKS (International Journal on Fuzziness, Uncertainty, and
Knowledge-Based Systems) already has a backlog of abstracts of
different relevant papers.
Lots of relevant papers appear in the
interval journal
Reliable Computing and in the special
NIFS journal specifically
devoted to interval-related intuitionistic fuzzy sets. A recently
announced IJUFKS special issue on interval methods is already filled
with high-quality papers.
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