The 6th  International Workshop on

Rough Set and Knowledge Technology 

RSKR2008

Ismailia, Egypt, June 25,  2008

Organized by:

Egyptian Rough Sets Working Society 

 

 

in  cooperation  with 

Faculty of Computers and Informatics, Suez Canal University

Under the sponsorship of Professor

Mohamed Al-Zoghbi

 

The President of

Suez Canal University

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Workshop objective

  Since the introduction of rough sets in 1982 by Professor Zdzislaw Pawlak, we have witnessed great advances in both theory and applications. Rough set theory is closely related to knowledge technology in a variety of forms such as knowledge discovery, approximate reasoning, intelligent and multiagent system design, knowledge intensive computations. The cutting-edge knowledge technologies have great impact on learning, pattern recognition, machine intelligence and automation of acquisition, transformation, communication, exploration and exploitation of knowledge. A principal thrust of such technologies is the utilization of methodologies that facilitate knowledge processing.   The main objective of this workshop  is to provide a forum for mathematician, engineers, academicians, scientists and researchers to present the result of their research activities in the field of rough sets and their applications. The primary focus of the workshop is to create an effective medium for institutions and students to share ideas, innovations and problem solving techniques. On this basis, the Egyptian Rough Sets working group with the Faculty of Computers and Information, Suez Canal University  is calling for papers to be submitted to the 6th   workshop on Rough Sets and Knowledge Technology which  addressing theoretical, empirical and policy issues related to this theme, we would appreciate to receive  your paper  by 5  May, 2008.

Topics

  1. Rough Sets and Applications
  • Rough set theory and applications

  • Fuzzy set theory and applications

  • Fuzzy-rough, rough-fuzzy and beyond

  • Knowledge discovery and data mining

 

    2. Knowledge Technology

  • Automated Reasoning
  • Concept Formation and Learning
  • Conceptual Maps
  • Data Mining
  • Formal Concept Analysis
  • Intelligent Data Analysis
  • Knowledge Engineering
  • Knowledge Retrieval
  • Knowledge Theory
  • Logics
  • Machine Learning
  • approximate reasoning

    3- Intelligent Information Processing

  • Artificial Intelligence
  • Artificial Life
  • Bioinformatics
  • Brain Informatics
  • Cognitive Informatics
  • Cognitive Information Processing
  • Intelligence Science
  • Natural Intelligence
  • Neural Informatics
  • Natural Language Processing
  • Web Intelligence

 

Keynote Speaker-I

Research on Software Architecture and Identification Technology

By

Professor Hany H. Ammar

 


 

 

 

 

Editor in Chief of the Journal of Computer Science and Engineering, in Arabic
http://www.phillips-publishing.com/jcsea/
Lane Dept. of Computer Science and Electrical Engineering,
West Virginia University
739 Engineering Sc. buildg, P.O. Box 6109,
Morgantown, WV 26506,
Phone: (304) 293-0405 (ext. 2514)
Fax: (304) 293-8602
e-mail: Hany.Ammar@mail.wvu.edu
URL : www.csee.wvu.edu/~ammar/




Abstract: This keynote presentation will briefly discuss several research   projects conducted during the last few years at the Software Architectures and High Performance Computing Lab at West Virginia University. The talk will focus on research projects in the areas of software architecture and identification technology. These projects were funded by the US National Science Foundation (NSF), The US National Institute of Justice (NIJ), and the US National Aeronautic and Space Administration (NASA).

 

  • Biography

Dr.Ammar is a Professor of Computer Engineering in the Department of Computer Science and Electrical Engineering at West Virginia University. He has published over 120 articles in prestigious international journals and conference proceedings. Dr. Ammar is currently Editor in Chief of the Journal of Computer Science and Engineering, in Arabic. In 2004, he co-authored a book entitled Pattern-Oriented Analysis and Design: Composing Patterns to Design Software Systems published by Addison-Wesley. In 2006, he co-authored a book entitled Software Engineering: Technical, Organizational and Economic Aspects, an Arabic Textbook, and co-edited the Proceedings of the Second International Conference on Computer Science Practice in Arabic. Dr. Ammar has been teaching in the areas of Software Engineering and Computer Architecture since 1987. He has been recently a Principal Investigator on a number of research projects on Software Risk Assessment and Software Architecture Metrics funded by the NASA IV&V Facility and NSF, and a project on Automated Dental Identification Systems funded by NIJ and NSF. Dr. Ammar is a member of the IEEE and the ACM professional organizations. He has served as Chairman and member of Steering Committees and Program Committees of several International Conferences and Symposia. H previously served as the Chairman of the Upper Monongahela Subsection of the Pittsburgh section of the IEEE, a Director of the Pittsburgh section of the IEEE , and the student section advisor of the IEEE Computer Society at WVU.

 

 

Keynote Speaker-II

 

Type-2 Fuzzy Logic Controllers: Towards the Next Generation of Fuzzy Control

By

Professor Hani Hagras

 

 BSc, MSc, PhD, SMIEEE, FIET

 

Director of the Computational Intelligence Centre

Head of the Fuzzy Systems Research Group
Department of Computing and Electronic System
University of Essex
Wivenhoe Park
Colchester CO4 3SQ
United Kingdom
Phone: +44 1206 873601
Fax: +44 1207 872788
Email: hani@essex.ac.uk

http://cswww.essex.ac.uk/staff/hagras/hani

 

 

 


Abstract::
Type-1 Fuzzy Logic Controllers (FLCs) have been applied to date with great success to many different applications. However, for many real-world applications, there is a need to cope with large amounts of uncertainties. The traditional type-1 FLC using crisp type-1 fuzzy sets cannot directly handle such uncertainties. A type-2 FLC using type-2 fuzzy sets can handle such uncertainties to produce a better performance. Hence, type-2 FLCs will have the potential to overcome the limitations of type-1 FLCs and produce a new generation of fuzzy controllers with improved performance for many applications, which require handling high levels of uncertainty. Through the review of the various type-2 FLC applications, it has been shown that as the level of imprecision and uncertainty increases, the type-2 FLC will provide a powerful paradigm to handle the high level of uncertainties present in real-world environments. It has been also shown in various applications that the type-2 FLCs have given very good and smooth responses that have always outperformed their type-1 counterparts. Thus, using a type-2 FLC in real-world applications can be a better choice since the amount of uncertainty in real systems most of the time is difficult to estimate. It is envisaged to see a wide spread of type-2 FLCs in many real-world application in the next decade. This talk will introduce the interval type-2 FLCs and how they present a way forward for fuzzy systems in real world environments and applications that face high levels of uncertainties. The talk will present different ways to design interval type-2 FLCs. The talk will also present the successful application of type-2 FLCs to many real world settings including industrial environments, mobile robots, ambient intelligent environments and intelligent decision support systems.

 

 

Biography

Hani Hagras is a Professor of Computer Engineering in the German University in Cairo, Egypt. He is also a Professor in the Department of Computing and Electronic Systems, Director of the Computational Intelligence Centre and the Head of the Fuzzy Systems Research Group in the University of Essex, UK. He received the B.Sc. and M.Sc. degrees from the Electrical Engineering Department at Alexandria University, Egypt, and the Ph.D. degree in computer science from the University of Essex, U.K. His major research interests are in computational intelligence, notably type-2 fuzzy systems, fuzzy logic, neural networks, genetic algorithms, and evolutionary computation. His research interests also include ambient intelligence, pervasive computing and intelligent buildings. He is also interested in embedded agents, robotics and intelligent control. He has authored more than 120 papers in international journals, conferences and books. His work has received funding that totalled to about 2 Million in the last five years from the European Union, the UK Department of Trade and Industry (DTI), the UK Engineering and Physical Sciences Research Council (EPSRC), the UK Economic and Social Sciences Research Council (ESRC), the Korea- UK S&T fund as well as several industrial companies. He is a Fellow of the Institution of Engineering and Technology (IET (IEE)) and a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE). He is the Chair of the IEEE CIS Task Force on Intelligent Agents and Co-Chair of the IEEE CIS Task Force on Extensions to Type-1 Fuzzy Sets. His research has won numerous prestigious international awards where most recently he was awarded by the IEEE Computational Intelligence Society (CIS), the Outstanding Paper Award in the IEEE Transactions on Fuzzy Systems. In addition, he was awarded the IET Knowledge Networks Award. He is a member of the IEEE Computational Intelligence Society (CIS) Fuzzy Systems Technical Committee. He is also a member of the IEEE Industrial Electronics Society (IES) Technical Committee of the Building Automation, Control and Management. In addition he is member of the Executive Committee of the IET Robotics and Mechatronics Technical and Professional Network. He is also a member of the International Medical Informatics Association (IMIA) working group on Smart Homes and Ambient Assisted Living. Prof. Hagras chaired several international conferences where most recently he served as the General Co-Chair of the 2007 IEEE International Conference on Fuzzy systems London, July 2007 and he also serves as Programme Chair for the 2008 IET International Conference on Intelligent Environments, Seattle, USA. He served as a member of the international programme committees of numerous international conferences. He is also an Associate Editor of the IEEE Transaction on Fuzzy systems

 

 

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Tutorial On

Computational Intelligence: Reviews, Architectures, and Prospective

By

 

 

 

 

 

Dr. Mostafa Abdelkhalik El-Hosseini
Assistant Professor at IRI - Mubarak city for Science and technology
University and Research District, P.O. 21934
New Borg Alarab, Alex, Egypt
http://www.mucsat.sci.eg
Work Tel: (+20) 34593415 Ext.(190)
Fax: (+20) 34593423
melhosseini@mucsat.sci.eg
 

 
Agenda:
 
- what is Computational Intelligence ?
- why and why Now ?
- Diffeernt Architectures of CI
- Genetic Algorithm [Binary - Real-coded]
- Simulated Annealing
- Particle Swarm Optimization
- Pros& Cons
- Comparsions
- Applications, [Chemical Engineering - Printed Circuit Board - Job-Shop Scheduling - Optimization,..]
- Conclusion

 

 

 

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Workshop General Chairs

Dr. Aboul Ella Hassanien,

 ERS President and Information Technology Department,

Faculty of Computer and Information, Cairo University

email: abo@cba.edu.kw

                ------------------------------            

Prof. Dr. Hamed Nassar 
 

Professor and Chair, Computer Science Department

Dean, Faculty of Computers & Informatics
Suez Canal University
Ismailia 41522, Egypt
Phone : + (2064) 333 8680,81,82
Fax      : + (2064) 334 2267
Mobile : + (2010) 666 5722

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Workshop Co-Chair

Professor  Hani M. K. Mahdi

Professor of Computer Systems

Information Systems Center, Faculty of Engineering, Director

University Information Network, Director

Ain Sham University

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Workshop Program Chair

Prof. Dr. Waiel Fathi Abd EL-Wahed

Vice Dean and Head of
Operations Research & Decision Support Department,
Faculty of Computers and Information,
El-Menoufia University, Shiben EL-Kom, EGYPT

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ERS Steering Committee

         Dr. Mohamed Mohamed Ezzat Abdel-Monsef Mohamed, Tanta University

         Dr. Amgad Salama Salem, Tanta University

         Professor  A.M Kozae, Tanta University,

         Prof. Abdel-Badeeh M. Salem, Ain Shams University

         Dr. Yasser Fouad Mahmoud Hassan, Alexandria  University

         Dr. Hala Shawky Own, NRIAG, Helwan

         Dr. Nahla El-haggar, NRIAG,  Helwan

         Dr. Wael Abd El-Kader Awad Suez Canal University

         Prof.Dr. Farahat Farag Farhat,Sadat Academy

         Dr Hussam Elbehiery,Egyptian Armed Forces Research Center

         Dr. Tarek Gharib Fouad, Ain Shams University.

         Professor Mahmoud Mohamed Hassan Gabr, Alexandria University

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We are delighted to invite you to participate in our 6th  workshop on  Rough Sets and Knowledge Technology on 25 June.  2008.

Important information:

  •   The paper  must not exceed 8 pages in MS-word format

  •   For ERS member and nun-member (open)

  •   The paper  will published as a technical report published (on-line/hardcopy) by the ERS.

  •   The presentation time is 20  minuts including the disusssion

  •   Award will given to  the Best Student Presentation and to the Best Student paper.

  •  A certificate for each accepted paper

Workshop Place

 

Faculty of Computers and Information, The University of Canal Suez

 

 

 

 

 

Important date

 

                                 Submissions due:   5  May   2008

 

Registration 

                                 Free

 

 

Authors should submit the electronic version of their papers in MS-WORD  formats by email to abo@cba.edu.kw

 

 

   Submission Guidelines and important dates

            Submission Requirements

  Papers should be original, previously unpublished work and should not identify the author's). Submissions should be no longer than 8 pages (including figures and references) in IEEE format. Email submissions (doc or pdf) are preferred and should be sent to abo@cba.edu.kw  by midnight of the due date (5 March. 2008). Submissions should be in English. 

 

 

For further Information, please contact:

 

 

  

*1000 L.E.  for the best student paper

 

   

Workshop Program