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"Rough
Computing: Theories, Technologies and Applications"
An edited book (published by Idea
Group Inc 2007)
Dr.
Aboul Ella
Hassanien,
Kuwait university, Kuwait
Professor Dr. Zbigniew Suraj
University of Information Technology and Management, Poland
Dr. Dominik Slezak,
University of Regina,
Department of Computer Science, Canada
Dr. Pawan Lingras,
Saint Mary's University,
Dept. of Math and Computing Science,Canada
In Memoriam
This
book is dedicated to Professor Zdzisław Pawlak, a father of
rough sets, who passed away on April 7, 2006 in Warsaw,
Poland.
Book Contents
|
Part-I Foundations of
Rough Sets |
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Piotr Wasilewski and Dominik
Ślęzak
Foundations of Rough Sets from Vagueness Perspective
|
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Hung Son
Nguyen
................................
Rough Sets and Boolean Reasoning |
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Richard Jensen and Qiang Shen
...
Rough Set-based Feature Selection: A Review |
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Yiyu Yao and Yaohua
Chen
.....................................................
Rough Set Analysis and Formal Concept Analysis |
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Part-II Current Trends
and Models |
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Theresa Beaubouef and Frederick E. Petry
.
Rough Sets: A Versatile Theory for Approaches to
Uncertainty Management in Databases |
|
|
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Cory J. Butz and Wen Yan
......
Current Trends in Rough Set Flow Graphs |
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Annibal Parracho SantAnna
...
Probabilistic Indices of Quality of Approximation |
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Zbigniew W. Raś and Elżbieta M.
Wyrzykowska
....
Extended Action Rule Discovery based on Single
Classification Rules and Reducts |
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Part-III Rough Sets and
Hybrid Systems |
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James F. Peters, Maciej
Borkowski, Christopher Henry, and Dan Lockery
Monocular Vision
System that Learns with Approximation Spaces
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Tomasz G. Smoliński,
Astrid A. Prinz, and Jacek M. Żurada
.
Hybridization of Rough Sets and Multi-Objective
Evolutionary Algorithms for Classificatory Signal
Decomposition |
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|
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Jerzy W.
Grzymała-Busse, Zdzisław S. Hippe, Teresa Mroczek, Edward
Roj, and Bolesław
Skowroński.......................................................................................................
Two Rough Set
Approaches to Mining Hop Extraction Data |
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|
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Krzysztof Pancerz and Zbigniew Suraj
Rough Sets for Discovering Concurrent System Models
from Data Tables |
Book
Objectives & Mission:
The theory of rough sets has been under continuous development for over 15 years now, and a fast growing group of researchers and
practitioners are interested in this methodology. The theory was originated by Zdzislaw Pawlak in 1980's as a result of a long term
program of fundamental research on logical properties of information systems, carried out by him and a group of logicians from
Polish Academy of Sciences and the University of Warsaw, Poland.
The methodology is concerned with the classificatory analysis of imprecise, uncertain or incomplete information or knowledge
expressed in terms of data acquired from experience. The primary notions of the theory of rough sets are the approximation space
and lower and upper approximations of a set. The approximation space is a classification of the domain of interest into disjoint categories.
The classification formally represents our knowledge about the domain, i.e. the knowledge is understood here as an ability to characterize
all classes of the classification, for example, in terms of features of objects belonging to the domain. Objects belonging to the same
category are not distinguishable, which means that their membership status with respect to an arbitrary subset of the domain may not
always be clearly definable.
This fact leads to the definition of a set in terms of lower and upper approximations. The lower approximation is a
description of the domain objects which are known with certainty to belong to the subset of interest, whereas the
upper approximation is a description of the objects which possibly belong to the subset.
Any subset defined through its lower and upper approximations is called a rough set. It must be emphasized that the concept of rough
set should not be confused with the idea of fuzzy set as they are fundamentally different, although in some sense complementary, notions.
The primary applications of rough sets in AI are for the purpose of knowledge analysis and discovery in data. Moreover, a considerable
number of applications of rough sets in medicine, economics, drug research, process control, finance, business, environment, electrical and
computer engineering, software engineering, and information science have been introduced in recent years. In addition, many rough
set case studies and more than a dozen commercial, as well as, research rough set tools are currently available.
Since the book will contain
chapters describing different formalization techniques
and applications,
it
will providing an opportunity for researchers from
different disciplines including mathematics, computer science,
electrical engineering, physics and clinical medicine to
present state-of-the-art in rough set theory and its
applications. In particular, rough sets are used in
probabilistic reasoning, granular computing (including
information granule calculi based on rough mereology),
intelligent control, intelligent agent modeling,
identification of autonomous systems, and process
specification.
It seeks original articles in all areas of rough sets and
their applications.
Recommended
Topics and Themes
·
Theoretical issues related
to:
o
Feature extraction and feature
selection
o
Data reduction ( reducts)
o
Decision rules synthesis and
tuning
o
Recurrent processing,
o
Classification and clustering
design,
o
Multi-resolution processing,
o
Granular computation,
o
Analysis of time series and
temporal data processing,
o
Continuous features and feature
discretization,
o
Preserving similarity, and
extraction of similarity relation from data,
o
Multi-criteria decision analysis
o
Hybrid and integrated
intelligent systems (rough sets, fuzzy sets, Bayesian
processing),
·
Applications:
o
Image processing,
o
Computer speech recognition
system
o
Modeling,
o
Compression,
o
Web mining,
o
Intelligent agent,
o
Web technology
o
Time-series,
o
Speech and language processing,
o
Bio-informatics,
o
Genomic science,
o
Content based similarity
retrieval,
o
Signal processing,
o
Intelligent systems,
o
Prediction and control,
o
Robotics,
o
Business and finance,
Scientific Committee Members
-
Mihir K. Chakraborty, India
-
Victor W. Marek
-
Ajith Abraham, Chung-Ang University, Korea
-
Tomasz G. Smolinski, USA
Target audience
The book aims to
provide relevant theoretical foundations, methodologies,
frameworks and latest research findings
in the
area of rough sets and their applications. It is written for
professionals,
students and practitioners
working in the field of
rough sets, data mining, artificial intelligence, intelligent
systems, and computational intelligence, in various
disciplines, e.g., medicine, economics, finance,
business, environment, electrical and computer engineering,
software engineering, and information science,
web technology, and intelligent agent.
Submission
Guidelines
Researchers and practitioners
are invited to submit on or before
April. 30, 2006, a 2-5 page
manuscript proposal clearly explaining the mission and
concerns of the proposed chapter. The proposals should be
emailed to one of the editors in pdf formats. All chapter
proposals will be peer reviewed. Authors of accepted proposals
will be notified by May,
5, 2006
about the status of
their proposals and will be sent chapter organizational
guidelines. Full chapters will be expected by
July 31, 2006. All submitted chapters will be reviewed by at least two
reviewers on a double-blind review basis. The book is
scheduled to be published by Idea Group Inc,
www.idea-group.com, publisher of the Idea Group
Publishing, Information Science Publishing, IRM Press,
CyberTech Publishing, and Idea Group Reference Imprints.
Book Contents:
Part-I:
Foundation
Part-II: Models and Algorithms
Part-III:
Practical Applications
Part-IV:
Hybrid and Integrated Intelligent Systems with Rough Sets
Important Dates
· April 30,
2006:
Deadline for chapter proposals submission
·
May
5,
2006:
Notification of proposals statuses (Acceptance/Rejection)
·
July
31, 2006:
Deadline for full-chapters submission
·
August
31,
2006: Deadline
to reviewer to return their comments
·
Sept. 30, 2006 Notification of chapters statuses
and required changes
·
Oct. 31,
2006:
Deadline for revised-chapters submission
· Nov.
15, 2006:
Notification of chapters final statuses
(Acceptance/Rejection)
·
Nov. 31, 2006: Deadline for submission final
versions of accepted chapters,
disks, copyright
·
Dec. 30, 2006
Send complete manuscript, including chapters, final table of
contents, preface
and introductory material to the publisher
Original artwork
and a signed copy of the copyright release form will be
required for all accepted chapters.
Editors Information
and Contact Persons
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
&
Professor Dr. Zbigniew Suraj
University of Information Technology and Management,
Rzeszow,
Poland
&
Dr. Dominik Slezak
University of Regina
Department of Computer Science, Canada
Email:
slezak@uregina.ca
Homepage:http://www2.cs.uregina.ca/~slezak
&
Dr. Pawan Lingras
Snail-mail Address:
Dept. of Math and Computing Science
Saint Mary's University
Halifax, Nova Scotia
Canada, B3H 3C3
Email-1:
pawan@cs.smu.ca
Email-2:
Pawan.Lingras@SMU.CA
http://cs.stmarys.ca/~pawan/
About Idea Group Inc.
Idea Group Inc. (IGI) is an innovative international
publishing company, founded in 1987, specialized in
information science, technology and management books, journals
and teaching cases.
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