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The LNCS journal Transactions on Rough Sets is devoted to the
entire spectrum of rough sets related issues, from logical and
mathematical foundations, through all aspects of rough set theory
and its applications, such as data mining, knowledge discovery, and
intelligent information processing, to relations between rough sets
and other approaches to uncertainty, vagueness, and incompleteness,
such as fuzzy sets and theory of evidence. Volume XVI includes
extensions of papers from the Rough Sets and Knowledge Technology
Conference which was held in Banff, Canada, in October 2011. In
addition this book contains a long paper based on a PhD thesis. The
papers cover both theory and applications of rough, fuzzy and near
sets. They offer a continuation of a number of research streams
which have grown out of the seminal work by Zdzislaw Pawlak during
the first decade of the 21st century.
This monograph is devoted to theoretical and experimental study of
inhibitory decision and association rules. Inhibitory rules contain
on the right-hand side a relation of the kind "attribut = value."
The use of inhibitory rules instead of deterministic (standard)
ones allows us to describe more completely infor- tion encoded in
decision or information systems and to design classi?ers of high
quality. The mostimportantfeatureofthis monographis thatit
includesanadvanced mathematical analysis of problems on inhibitory
rules. We consider algorithms for construction of inhibitory rules,
bounds on minimal complexity of inhibitory rules, and algorithms
for construction of the set of all minimal inhibitory rules. We
also discuss results of experiments with standard and lazy
classi?ers based on inhibitory rules. These results show that
inhibitory decision and association rules can be used in data
mining and knowledge discovery both for knowledge representation
and for prediction. Inhibitory rules can be also used under the
analysis and design of concurrent systems. The results obtained in
the monograph can be useful for researchers in such areas as
machine learning, data mining and knowledge discovery, especially
for those who are working in rough set theory, test theory, and
logical analysis of data (LAD). The monograph can be used under the
creation of courses for graduate students and for Ph.D. studies.
TheauthorsofthisbookextendanexpressionofgratitudetoProfessorJanusz
Kacprzyk, to Dr. Thomas Ditzinger and to the Studies in
Computational Int- ligence sta? at Springer for their support in
making this book possible.
This monograph is devoted to theoretical and experimental study of
inhibitory decision and association rules. Inhibitory rules contain
on the right-hand side a relation of the kind "attribut = value."
The use of inhibitory rules instead of deterministic (standard)
ones allows us to describe more completely infor- tion encoded in
decision or information systems and to design classi?ers of high
quality. The mostimportantfeatureofthis monographis thatit
includesanadvanced mathematical analysis of problems on inhibitory
rules. We consider algorithms for construction of inhibitory rules,
bounds on minimal complexity of inhibitory rules, and algorithms
for construction of the set of all minimal inhibitory rules. We
also discuss results of experiments with standard and lazy
classi?ers based on inhibitory rules. These results show that
inhibitory decision and association rules can be used in data
mining and knowledge discovery both for knowledge representation
and for prediction. Inhibitory rules can be also used under the
analysis and design of concurrent systems. The results obtained in
the monograph can be useful for researchers in such areas as
machine learning, data mining and knowledge discovery, especially
for those who are working in rough set theory, test theory, and
logical analysis of data (LAD). The monograph can be used under the
creation of courses for graduate students and for Ph.D. studies.
TheauthorsofthisbookextendanexpressionofgratitudetoProfessorJanusz
Kacprzyk, to Dr. Thomas Ditzinger and to the Studies in
Computational Int- ligence sta? at Springer for their support in
making this book possible.
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Rough Sets - International Joint Conference, IJCRS 2019, Debrecen, Hungary, June 17-21, 2019, Proceedings (Paperback, 1st ed. 2019)
Tamas Mihalydeak, Fan Min, Guoyin Wang, Mohua Banerjee, Ivo Duntsch, …
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R1,667
Discovery Miles 16 670
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Ships in 10 - 15 working days
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This LNAI 11499 constitutes the proceedings of the International
Joint Conference on Rough Sets, IJCRS 2019, held in Debrecen,
Hungary, in June 2019.The 41 full papers were carefully reviewed
and selected from 71 submissions. The IJCRS conferences aim at
bringing together experts from universities and research centers as
well as the industry representing fields of research in which
theoretical and applicational aspects of rough set theory already
find or may potentially find usage. The papers are grouped in
topical sections on core rough set models and methods; related
methods and hybridization; areas of application.
This book is dedicated to the memory of Professor Zdzis{\l}aw
Pawlak who passed away almost six year ago. He is the founder of
the Polish school of Artificial Intelligence and one of the
pioneers in Computer Engineering and Computer Science with
worldwide influence. He was a truly great scientist, researcher,
teacher and a human being. This book prepared in two volumes
contains more than 50 chapters. This demonstrates that the
scientific approaches discovered by of Professor Zdzis{\l}aw
Pawlak, especially the rough set approach as a tool for dealing
with imperfect knowledge, are vivid and intensively explored by
many researchers in many places throughout the world. The submitted
papers prove that interest in rough set research is growing and is
possible to see many new excellent results both on theoretical
foundations and applications of rough sets alone or in combination
with other approaches. We are proud to offer the readers this book.
This book is dedicated to the memory of Professor Zdzis{\l}aw
Pawlak who passed away almost six year ago. He is the founder of
the Polish school of Artificial Intelligence and one of the
pioneers in Computer Engineering and Computer Science with
worldwide influence. He was a truly great scientist, researcher,
teacher and a human being. This book prepared in two volumes
contains more than 50 chapters. This demonstrates that the
scientific approaches discovered by of Professor Zdzis{\l}aw
Pawlak, especially the rough set approach as a tool for dealing
with imperfect knowledge, are vivid and intensively explored by
many researchers in many places throughout the world. The submitted
papers prove that interest in rough set research is growing and is
possible to see many new excellent results both on theoretical
foundations and applications of rough sets alone or in combination
with other approaches. We are proud to offer the readers this book.
This book is dedicated to the memory of Professor Zdzis{\l}aw
Pawlak who passed away almost six year ago. He is the founder of
the Polish school of Artificial Intelligence and one of the
pioneers in Computer Engineering and Computer Science with
worldwide influence. He was a truly great scientist, researcher,
teacher and a human being. This book prepared in two volumes
contains more than 50 chapters. This demonstrates that the
scientific approaches discovered by of Professor Zdzis{\l}aw
Pawlak, especially the rough set approach as a tool for dealing
with imperfect knowledge, are vivid and intensively explored by
many researchers in many places throughout the world. The submitted
papers prove that interest in rough set research is growing and is
possible to see many new excellent results both on theoretical
foundations and applications of rough sets alone or in combination
with other approaches. We are proud to offer the readers this book.
This book is dedicated to the memory of Professor Zdzis{\l}aw
Pawlak who passed away almost six year ago. He is the founder of
the Polish school of Artificial Intelligence and one of the
pioneers in Computer Engineering and Computer Science with
worldwide influence. He was a truly great scientist, researcher,
teacher and a human being. This book prepared in two volumes
contains more than 50 chapters. This demonstrates that the
scientific approaches discovered by of Professor Zdzis{\l}aw
Pawlak, especially the rough set approach as a tool for dealing
with imperfect knowledge, are vivid and intensively explored by
many researchers in many places throughout the world. The submitted
papers prove that interest in rough set research is growing and is
possible to see many new excellent results both on theoretical
foundations and applications of rough sets alone or in combination
with other approaches. We are proud to offer the readers this book.
'Rough Computing' explores the application of rough set theory,
which has attracted attention because of the ability to enhance
databases by allowing for the management of uncertainty, a
comparative analysis between rough sets, and other intelligent data
analysis.
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