Special Session: Methods and Applications of Fuzzy Cognitive Maps

 

Organizers: Elpiniki I. Papageorgiou, Engin Yesil and Jose Salmeron

This session has been provisionally accepted for the FUZZ-IEEE 2016 conference which will be held as part of the 2016 IEEE WCCI in Vancouver, Canada at July 25-29, 2016. 

SpecialSession2016

Fuzzy Cognitive Map is an extension of cognitive maps for modeling complex causal relationships easily, both qualitatively and quantitatively. As a Soft Computing technique it is used for causal knowledge acquisition and providing causal knowledge reasoning process. FCMs modeling approach resembles human reasoning; it relies on the human expert knowledge for a domain, making associations along generalized relationships between domain descriptors, concepts and conclusions. FCMs can be constructed from raw data as well. FCMs model any real world system as a collection of concepts and causal relation among concepts. They combine fuzzy logic and recurrent neural networks inheriting their main advantages. From an Artificial Intelligence perspective, FCMs are dynamic networks with learning capabilities, whereas more and more data is available to model the problem, the system becomes better at adapting itself and reaching a solution. They gained momentum due to their dynamic characteristics and learning capabilities. These capabilities make them essential for modeling and decision making tasks as they improve the performance of these tasks.

During the past decade, FCMs played a vital role in the applications of diverse scientific areas, such as social and political sciences, engineering, information technology, robotics, expert systems, medicine, education, prediction, environment etc.

Objectives and Scope

This special session aims to present highly technical papers describing new FCM models and methodologies addressing any of the following specific topics: theoretical aspects, learning algorithms, innovative applications and FCMs extensions. Topics include, but are not limited to:

  • Modeling Fuzzy Cognitive Maps
  • Approximate Reasoning
  • Knowledge Representation
  • Learning Algorithms for FCMs
  • Evolutionary Fuzzy Cognitive Maps
  • Granular Cognitive maps
  • Rule Based Fuzzy Cognitive Map
  • Fuzzy Cognitive Agents
  • Dynamic Cognitive Networks
  • FCM extensions
  • Fuzzy Grey Cognitive Maps
  • Rough Cognitive Map
  • Intuitionistic Fuzzy Cognitive Maps
  • Interval Fuzzy Cognitive Maps
  • Competitive Fuzzy Cognitive Maps
  • Hybrid FCM-based approaches
  • FCMs for Stakeholders analysis
  • FCMs in Biomedical Engineering
  • FCMs in Pattern Recognition
  • FCMs in Medical Decision Support
  • FCMs in Decision Making & Control Systems
  • FCMs in Business Management
  • FCMs in Engineering
  • FCMs in Agricultural Systems
  • FCMs in Data Mining
  • FCMs in Computer Vision Tasks

 

 

Paper Submission

If you are interested in taking part on this special session, please submit your paper directly through the WCCI web site selecting the option "Main research topic": Special Session on Software for Soft Computing. You can find further information related to the submission process and important dates at conference web site

Papers submitted for special sessions are to be peer-reviewed with the same criteria used for the rest of contributed papers. As a result, all accepted papers will be included in the proceedings of the FUZZ-IEEE 2016. 

 

Special Session Organizers   

 

Asst. Prof. Elpiniki I. Papageorgiou

Department of Computer Engineering

Technological Educational Institute (T.E.I.)

University of Applied Sciences of Central Greece, Lamia, Greece

Phone: (+30) 6936064613

web: http://www.epapageorgiou.com

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Asst. Prof. Dr. Engin Yesil

Istanbul Technical University

Control and Automation Engineering Department

Maslak, TR-34469, Istanbul, Turkey

Phone: (+90) 212 285 3599

Web: http://web.itu.edu.tr/yesileng/

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Prof. Jose L. Salmeron

Professor of Information Systems

Computational Intelligence Lab

University Pablo de Olavide

Km. 1 Utrera road - 41013 Seville, Spain

Web: http://eps.upo.es/salmeron/

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