IFSA/NAFIPS 2013 Joint Conference

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)

Fabio Massimo Frattale Mascioli (mascioli-at-infocom.uniroma1.it)

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)