Post date: Aug 26, 2012 2:44:55 PM
Important Dates
Paper Submission: February 25, 2013
Notification of Acceptance: March 18, 2013
Final Papers and Early Registration: April 8, 2013
Reference Site
http://www.ualberta.ca/~reformat/ifsa2013/index.html
Focused Session: Computational Intelligence Techniques for Smart Grids Control and Management
Organizers: Alireza Sadeghian, Antonello Rizzi, Fabio Massimo Frattale Mascioli, Hooman Tahayori
The limited availability of energy resources related to environmental and economic factors has made a
radical change in the way of understanding the distribution and consumption of energy. This new
environment will lead to critical challenges to electric energy security, reliability, and sustainability in
smart grids and micro-grids contexts. This focused session will elaborate on the applications of
computational intelligence (CI) in planning, implementation, management, control, and optimization of
smart grids and micro-grids with the aim of improving the electric energy security, reliability, and
sustainability, as well as the efficiency.
The topics covered in this focused session - but not limited to:
Contacts:
Alireza Sadeghian (asadeghi-at-ryerson.ca)
Antonello Rizzi (antonello.rizzi-at-uniroma1.it)
Fabio Massimo Frattale Mascioli (mascioli-at-infocom.uniroma1.it)
Hooman Tahayori (htahayor-at-scs.ryerson.ca)
Focused Session: Type-2 Fuzzy Sets in Data Granulation
Organizers: Alireza Sadeghian, Antonello Rizzi, Hooman Tahayori, Lorenzo Livi
Granular computing as a general theory of computation is about representing information in terms of
some aggregates and their processing. The predominant technique for information granulation is through
using clustering-based algorithms. However, since the main aim of the information granulation is the
aggregation of low level entities by means of some similarity, proximity etc. criteria, the granulation
technique, for instance, can be generalized through compression or (fuzzy) relation based techniques.
Moreover, other novel methodologies are expected to be proposed to put different formal frameworks of
granular computing into practice of information granulation: in particular, type-2 fuzzy sets.
The objective of this special session is to embrace novel methodologies on granulating data into general
and interval type-2 fuzzy sets and their operations. There is also an elaboration on the design of granular
computing methods for analyzing type-2 fuzzy sets conceived as patterns of datasets. Efficient procedures
for dealing with information granules modeled with general and interval type-2 fuzzy sets are expected.
Such algorithms enable new possibilities for application of type-2 fuzzy sets in the context of pattern
analysis and machine intelligence. Both theoretical and experimental works are emphasized; moreover,
researches that connect experiments to the theory are particularly welcome.
Contacts:
Alireza Sadeghian (asadeghi-at-ryerson.ca)
Antonello Rizzi (antonello.rizzi-at-uniroma1.it)
Hooman Tahayori (htahayor-at-scs.ryerson.ca)
Lorenzo Livi (livi-at-diet.uniroma1.it)