"Rough Sets in Hybrid Intelligent Systems"

The International Journal of Hybrid Intelligent Systems (IJHIS) http://ijhis.hybridsystem.com/ Published by IOS Press and  Advanced Knowledge International, invites authors to submit papers for the special issue on Rough Sets in Hybrid Intelligent Systems.

Aim and Scope: Hybridization of intelligent systems is a promising research field of modern artificial intelligence concerned with the development of the next generation of intelligent systems. A fundamental stimulus to the investigations of Hybrid Intelligent Systems (HIS) is the awareness in the academic communities that combined and integrated approaches will be necessary if the remaining tough problems in artificial intelligence are to be solved. Recently, hybrid intelligent systems are becoming popular due to their capabilities in handling many real world complex problems, involving imprecision, uncertainty and vagueness, high-dimensionality.

We are observing a growing research interest in the foundations of rough sets, including the various logical, mathematical and philosophical aspects of rough sets. Some relationships have already been established between rough sets and other approaches, and also with a wide range of hybrid systems. As a result, rough sets are linked with decision system modeling and analysis of complex systems, fuzzy sets, neural networks, evolutionary computing, data mining and knowledge discovery, pattern recognition, machine learning, and approximate reasoning. In particular, rough sets are used in probabilistic reasoning, granular computing, intelligent control, intelligent agent modeling, identification of autonomous systems, and process specification. This special issue is devoted to rough sets in Hybrid and integrated intelligent systems. Specific topics of interest include but are not limited to:

• Rough  -  fuzzy and Fuzzy-rough hybridization

• Rough  -  Petri net hybridization

• Rough  -  Decison trees hybridization

• Rough  -  Evolutionary Computing hybridization

• Rough  -  Genetic algorithm  hybridization

• Rough  -  Reinforcement learning

• Other   hybrid intelligent and integrated systems with rough sets

• Applications on signal/image analysis, control and automation, industrial and medical diagnosis, pattern recognition, fault monitoring, bioinformatics, data mining, business information systems, communication and networking, information security, knowledge management, guidelines for contributors, E-commerce, Internet and web technology.

Important Date

 Manuscript Due: August 31  2006

Acceptance Notification: 30  Oct . 2006

Final Manuscript: Dec.. 1, 2006

Publication date: due the first quarter of 2007

Guidelines for Contributors

Submitted papers should not have been published elsewhere or being currently under consideration by any other journal. Authors should submit the electronic version of their papers in PDF formats by email to one of the guest editor (s). All papers will be peer reviewed by three independent reviewers.

Detailed instructions for preparation of manuscripts are available in the following link:

http://www.iospress.nl/html/14485869_ita.html

 ·        Original artwork and a signed copy of the copyright release form will be required for all accepted papers.

 Guest Editors  

Professor Dr. Zbigniew Suraj 

University of Information Technology and Management, Poland

Email: zsuraj@wsiz.rzeszow.pl

Homepage: http://www.wsiz.rzeszow.pl/zsuraj

Dr. A. Hassanien

Kuwait University
College of Business Administration
Information System Department, Kuwait      

E-mail: Abo@cba.edu.kw
Homepage: http://www.cba.edu.kw/abo

Dr. Dominik Slezak

University of Regina

Department of Computer Science, Canada

Email: slezak@uregina.ca

Homepage:http://www2.cs.uregina.ca/~slezak