Rough Computing: Theories, Technologies and Applications

Rough Computing: Theories, Technologies and Applications

Aboul Ella Hassanien, Zbigniew Suraj, Dominik Slezak, Pawan Lingras
Indexed In: SCOPUS View 2 More Indices
Release Date: August, 2007|Copyright: © 2008 |Pages: 314
DOI: 10.4018/978-1-59904-552-8
ISBN13: 9781599045528|ISBN10: 1599045524|EISBN13: 9781599045542
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Description & Coverage
Description:

Rough set theory is a new soft computing tool which deals with vagueness and uncertainty. It has attracted the attention of researchers and practitioners worldwide, and has been successfully applied to many fields such as knowledge discovery, decision support, pattern recognition, and machine learning.

Rough Computing: Theories, Technologies and Applications offers the most comprehensive coverage of key rough computing research, surveying a full range of topics from granular computing to pansystems theory. With its unique coverage of the defining issues of the field, this commanding research collection provides libraries with a single, authoritative reference to this highly advanced technological topic.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Approximation Spaces
  • Belief Networks
  • BeliefSEEKER System
  • Classificatory Signal Decomposition
  • Direct Rule Induction
  • Extended Action Rule Discovery
  • Formal Concept Analysis
  • Foundations of Rough Sets
  • Hop Extraction Process
  • Hybridization of Rough Sets
  • Mining Hop Extraction Data
  • Models from data Tables
  • Monocular Vision System
  • Multi-Objective Evolutionary Algorithms
  • Probabilistic Indices
  • Quality of Approximation
  • Rough Set Analysis
  • Rough Set Flow Graphs
  • Rough Set-Based Feature Selection
  • Rough Sets and Boolean Reasoning
  • Single Classification Rules and Reducts
  • Uncertainty Management
  • Vagueness Perspective
Reviews & Statements

This book provides a critical analysis of many important issues in rough sets and applications, including intro¬ductory material and research results, as well as hybrid intelligent systems involving the elements of rough set techniques.

– Aboul Ella Hassanien, Kuwait University, Kuwait

A valuable collection of material on rough computing.

– Bhanu Prasad, Florida A&M University, USA
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Editor/Author Biographies
Aboul Ella Hassanien (Abo) is a Professor at Cairo University, Faculty of Computers and Information, IT Department and the Chair of Scientific Research Group in Egypt (SRGE). Abo is the chair of the International Rough Sets Society-Egypt Chapter. He received his BSc with honors in 1986 and MSc degree in 1993, both from Ain Shams University, Faculty of Science, Pure Mathematics and Computer Science Department, Cairo, Egypt. On September 1998, he received his doctoral degree from the Department of Computer Science, Graduate School of Science & Engineering, Tokyo Institute of Technology, Japan. He works in a multidisciplinary environment involving machine intelligence, network security and cryptology, data mining, various issues in intelligent environment including monitoring pollutions, technologies for disabled people including text-to-speech for blind people, Arabic sign Language, Social networks, biomedical engineering and bioinformatics and their applications to various real-world problems. He has authored/coauthored over 360 research publications in peer-reviewed reputed journals, book chapters and conference proceedings. He has served as the program committee member of various international conferences and reviewer for various international journals. He has received the excellence younger researcher award from Kuwait University for the academic year 2003/2004. He has guest edited many special issues for international scientific journals. He has directed many funded research projects. He is the editor and co-editor for more than 30 books in the area of rough computing, computational intelligence, social networks, bioinformatics, and E-commerce. For more details, please see http://www.egyptscience.net.
Zbigniew Suraj has been the head of computer science foundations chair since 2001. He manages the special interest group in "Concurrency and New Artificial Intelligence" operating at computer science foundations chair. He was a long-term research and didactic worker at the Institute of Mathematics of Rzeszów Pedagogical University, in addition he was the head of Computer Science Department (1986—2001). His current research interests include problems concerning concurrency, artificial intelligence, and informatic didactics. He has been a participant of much scientific training at home and abroad. He has been an author or co-author of more than 90 scientific theses and his works have been published in numerous international journals. He is a member of program committees of domestic and international scientific conferences and has taken active part in more than 70 international conferences. Moreover, he has run his own research projects with the help of his team, funded by the State Committee for Scientific Research (KBN) and also taken part in European Union projects (ESPRIT). He has also worked on research projects ran at other universities or scientific-research units in Poland and abroad, including at the Computer Science Institute of Polish Academy of Sciences, the Institute of Mathematics, Warsaw University and at the Department of Electrical and Computer Engineering, University of Manitoba (Canada). He is the chairman of the computer science committee operating at the scientific association in Rzeszów. He lectures on logics, mathematics, introduction to algorithms, computational methods of computer science, and diploma seminars.
Dominik Slezak received his MSc in Mathematics (1996) and PhD in Computer Science (2002) under the supervision of Dr. Andrzej Skowron, at Warsaw University (Poland). He has been cooperating with Group of Logic headed by Dr. A. Skowron, Robotics Laboratory at PJIIT (Poland), headed by Dr. L. Polkowski, as well as Rough Set Laboratory at the University of Regina (Canada), headed by Dr. W. Ziarko. Dominik Slezak is currently chief scientist at Infobright Inc. (Toronto, Canada). Dr. Slezak’s research interests are related to the theory of rough sets, data mining, Bayesian networks, and optimization. He has published over 60 research papers in journals, books, and at conferences. He has been involved in several joint research projects in Poland, Canada, and Japan and has been also combining academic activity with industry applications. Dr. Slezak is active member of the International Rough Set Society (IRSS), currently serving on the IRSS executive board. He is editor-in-chief of the Online International Journal on Rough Set Methods. He was program chair of the International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing held (Regina, 2005). He has also propagated rough sets by organizing special sessions and workshops at other conferences, in particular, as a reviewing committee co-chair of the Indian International Conference on Artificial Intelligence (2005). Currently, he is the general co-chair of the International Conference on Hybrid Information Technology (South Korea, 2006).
Pawan Lingras is a professor of mathematics and computing science at Saint Mary's University (Halifax). Pawan received his PhD in computer science from the University of Regina (Canada). His research interests include data mining, Web intelligence, artificial intelligence, reasoning under uncertainty, fuzzy sets, rough sets, interval computing, applications in traffic engineering, e-commerce, and marketing. Pawan has published more than 25 journal and 70 conference papers in computer science and traffic engineering journals and conferences.
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