PLENARY LECTURERS
Several plenary lecturers shall be included in the conference program, presented by leading scientists in the field of intelligent systems. Indicative list of plenary lecturers includes researchers like Distinguished Prof. Klir (Binghamton University, USA), Prof. Hirota (Tokyo Institute of Technology, Japan), Prof. Popkov (Russian Academy of Sciences, Russia), Prof. Yager (Iona college, NY, USA), Prof. Kacprzyk (Polish Academy of Sciences, Poland), and others
TUTORIALS
During the conference, interested participants shall have the chance to take part in the following tutorial:
Fuzzy Rule Base Networks
Prof. A. Gegov
University of Portsmouth, School of Computing, UK, alexander.gegov@port.ac.uk
The tutorial will present novel ideas and results in the emerging research area of fuzzy networks that has been recently pioneered and promoted by the presenter. The most common attribute of a fuzzy rule based system is a ‘black box’ model in the form of a single large rule base with poor transparency of the rules. As opposed to this, a fuzzy rule base network is characterised by a ‘white box’ model in the form of multiple smaller rule bases with good transparency of the rules. Also, a fuzzy network is usually a more accurate model of a complex process than a fuzzy system due to the ability of the multiple smaller rule bases to reflect explicitly the sub-processes and the interactions among them. This superiority in terms of improved transparency and higher accuracy does not come at the expense of reduced efficiency as a fuzzy network can be transformed into an equivalent fuzzy system entirely off-line.
The following topics will be discussed in the tutorial:
- Capabilities of fuzzy logic, fuzzy systems and fuzzy networks to deal with uncertainty, non-linearity and topology in complex systems,
- Problems of fuzzy rule based systems,
- Foundations of fuzzy rule base networks,
- Mathematical modelling of nodes in fuzzy networks by Boolean matrices and binary relations,
- Mathematical modelling of connections in fuzzy networks by incidence matrices and adjacency matrices,
- Formal operations in fuzzy networks such as horizontal, vertical and output merging of nodes,
- Structural properties of fuzzy networks such as associativity of horizontal, vertical and output merging,
- Analysis and synthesis of feed-forward fuzzy networks,
- Analysis and synthesis of feedback fuzzy networks,
- Comparison between fuzzy networks and fuzzy systems in terms of accuracy, efficiency and transparancy,
- Theoretical importance, application areas and future developments in fuzzy networks.
A fee for the tutorial of EUR 10 shall be charged to the interested participants, and should be paid together/during the registration period (pls. see the deadlines section). The tutorial shall be held if at least 10 people register for it. For the time being, please send your expression of interest to the conference organizers (see section "Contacts").
Enquiries about possibilities to organize other events within IEEE IS'08 and further information about scheduled events may be received from the conference organizers (see section "Contacts").
SPECIAL SESSIONS
The IEEE IS’08 Conference organizers strongly support the organization of special sessions that would add up to the high scientific quality of the conference. Currently, we are expecting to have the following tentative special sessions, and we are still in the submission period for these sessions (additional information is available by clicking on the session titles; you could also write to the session organizers or the conference organizers for additional information):
Relational Data Analysis
http://ssie.binghamton.edu/ss/rda-is08/
Organizers:
Radim Belohlavek,Vilem Vichodil
Binghamton University, SUNY, USA
Computational Intelligence for Bioinformatics and Computational Biology
http://www.tu-plovdiv.bg/Container/bi/BioInfo2008/BioInfo2008.html
Organizers:
Veselka Boeva
Computer Systems & Technologies Department
Technical University of Sofia, Branch Plovdiv
vboeva@tu-plovdiv.bg
Nik Kasabov
KEDRI, Auckland University of Technology, New Zealand
nkasabov@aut.ac.nz
Evolving and Self-Developing Neuro-Fuzzy Systems Software for Computational Intelligent Systems
Organizer:
Plamen Angelov
Dept. Communication Systems, Infolab 21, Lancaster University, UK
p.angelov@lancaster.ac.uk
Intuitionistic Fuzzy Logic and Generalized Nets
Organizers:
Krassimir Atanassov
Department of Biomedical Informatics, Centre for Biomedical Engineering
Bulgarian Academy of Sciences
krat@argo.bas.bg
Panageotis Chountas
University of Westminster, School of Computer Science
P.I.Chountas@westminster.ac.uk
Multiagent Systems and Information Security Applications
Organizer:
Vladimir Gorodetsky
gor@mail.iias.spb.su