Rough Sets -- Call for Book Chapters

Since its very inception, rough set theory has exhibited a unique potential to cope with the uncertainty inherent to real-life problems, more specifically that stemming from inconsistency or vagueness in data. Lots of researchers and practitioners have felt drawn to it because of its simplicity in handling complex problems and the fact that data are solely described by the implicit relationships lying between them, rather than by any other further information, as is the case with the theory of probability or other existing approaches.

In recent years we have witnessed a powerful increase in the amount of research studies focused on rough set theory. A broad range of issues are being addressed nowadays, from theory to practical development and fast advances are made and reported by researchers from both academia and industry for a wide range of problems, achieving a success never expected before.

We sense there is a need for gathering and publishing a representative set of the most recent outstanding approaches having to do with novel applications of rough set theory either to areas not explored in depth so far or, on the other hand, to very popular fields but with a high degree of ingenuity and shedding light on how to overcome the remaining dissatisfactions most researchers experience even today.

The book aims to provide relevant theoretical frameworks and latest empirical research findings in this regard. Readers can benefit from this book in beholding the wide applicability spectrum of rough set, starting from machine learning and data mining to bioinformatics and other emergent scientific domains as well as dwelling on sound innovative proposals of the traditional theoretic foundations of this theory. The reader will end up acquainted and fascinated by the mathematical simplicity and the robust capabilities the rough set framework provide.

The audience of this book consists of senior or graduate students mostly in computer science, computer engineering, applied mathematics or informatics or management information system as well as professional instructors and researchers. The book is also written for professionals interested in the development of new algorithms for coping with several types of uncertainty in an effective way.

The book is intended to be published in the Springer Verlag, Series - 'Studies in Computational Intelligence'. Please prepare the manuscript using the author guidelines and format provided in the following link: Author Guidelines

PROPOSAL: Researchers and practitioners are invited to submit by October 30, 2007 a 2-5 page manuscript proposal clearly explaining the mission and concerns of the proposed chapter. The focus will be put on where the real advance of your proposal lies. Authors will be notified about the suitability of the chapters within 2 weeks after the submission date, which will be determined based on the editors' critical assessment.
FULL CHAPTER SUBMISSION: ~~January 30, 2008~~ June 15, 2008 -> Chapters have to be no more than 40 pages length and will be peer-reviewed by at least three referees.

The book is scheduled to be published by Springer-Verlag by September, 2008. Inquiries and submissions can be forwarded electronically to one of the Volume editors:

Volume Editors:

Rafael Falcon
Department of Computer Science
Central University of Las Villas
Carretera Camajuaní km 5 1/2, Santa Clara, Villa Clara
54830, CUBA
Email: rfalcon@uclv.edu.cu
Tel: +53 42-281515
WWW: http://www.cei.uclv.edu.cu/cei/curriculum?ident_prof=58

Ajith Abraham
School of Computer Science and Engineering
Chung-Ang University
221, Heukseok-dong, Dongjak-gu
Seoul 156-756, Korea
Email: ajith.abraham@ieee.org
WWW: http://www.softcomputing.net

Rafael Bello
Department of Computer Science
Central University of Las Villas
Carretera Camajuaní km 5 1/2, Santa Clara, Villa Clara
54830, CUBA
Email: rbellop@uclv.edu.cu
Tel: +53 42-281515
WWW: http://www.cei.uclv.edu.cu/cei/curriculum?ident_prof=57