Universität Bielefeld - Sonderforschungsbereich 360
The Paradigm and Practice of Granular Computing
Witold Pedrycz
Department of Electrical & Computer Engineering
University of Alberta, Edmonton Canada
Wednesday, May 26th, 1999
16 c.t. Uhr, N6 - 123
Granular computing emerges as a general way of computation and
interpretation aimed at processing granular information. The underlying
concept permeating the entire area is the one of information granules
and information granulation. We discuss and contrast the most commonly
encountered vehicles of information granulation such as set theory
(especially interval analysis), fuzzy sets, rough sets, shadowed sets,
random sets, etc. We discuss the underlying processing principles that
are unique to the assumed formalism of information granulation. An
important question dealing with a way of translation of information
granules between processing frameworks exhibiting different leves of
information granularity will be addressed as well. Owing to its inherent
nature, granular computing promotes a notion of relational rather than
function-driven mappings and this aspect contributes to the increased
generality of the resulting constructs. Finally, we discuss granular
neurocomputing and granular rule-based architectures in the setting of
granular computing.
Anke Weinberger, 1999-05-20