Final Program available … Registration starts on Sunday, June 23 at 3pm

Call for Papers:


June 21, 2013
Sunday June 23rd, 3pm-6pm
Monday June 24th, 8am-4pm
Tuesday, June 25th to Thursday, June 27th 9am – 1pm

June 21, 2013
Final program posted. 

Please, visit the program page.

June 8, 2013
Transporation from/to the airport:

Please, visit the Edmonton Aiport page for details.

May 30, 2013
Please, visit the Edmonton and Alberta pages to find out about interesting places to see in the city and province.
Visit the banquet page for details.

April 24, 2013
Registration is OPEN!!! 

Please, visit the registration page.

April 14, 2013
Financial support of students by NAFIPS!!! 

For details visit the students page.

Aims and Scope

As a truly unique and international conference in the areas of fuzzy sets and soft computing, 2013 IFSA-NAFIPS Joint Congress will bring together scientists, engineers, students, and practitioners working in fuzzy logic and related areas to present their recent research accomplishments. The Congress offers a unique platform for the exchange of ideas, fostering interaction and building multidisciplinary research linkages. 


The topics cover all aspects of fuzzy systems and their applications including, but not limited to 
  • fuzzy sets and fuzzy logic
  • mathematical foundations of fuzzy sets and fuzzy systems
  • approximate reasoning, fuzzy inference models, and soft computing
  • fuzzy decision analysis, decision making, optimization, and design
  • fuzzy system architectures and hardware
  • fuzzy methods in data analysis, statistics and imprecise probability
  • fuzzy databases and information retrieval
  • fuzzy pattern recognition and image processing
  • fuzzy sets in management science
  • fuzzy control and robotics
  • possibility theory
  • fuzzy sets and logic in ontology, web, and social networks
  • fuzzy preference modelling
  • fuzzy sets in operations research and manufacturing
  • fuzzy database mining and financial forecasting
  • fuzzy neural networks
  • evolutionary and hybrid systems
  • intelligent agents and ambient intelligence
  • learning, adaptive, and evolvable fuzzy systems

February 2013