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Series in Studies in Computational Intelligence

 

Rough Set Research

Advances in Theory and Applications

 


Introduction

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.

The Aim of the Book

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 Intended Audience

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.

Recommended topics include but are not limited to the following:


SUBMISSION PROCEDURE & SCHEDULE

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


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

 

 

 

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