Authored Monographs

ISBN No. 0-470-27463-8, Pages : 280

Contents : Introduction, Fuzzy Subsets and Properties, Classificatory Analysis, Preprocessing,  Feature Selection and Primitive Extraction, Speech Recognition, Adaptive Classification, Fuzzy  Grammars and Syntactic Recognition.

The book received Best Production Award in the 7th World Book Fair, New Delhi, 1986.

The book has been translated into Indonesian Bhasa and Chinese Language.

ISBN No. 0-471-34844-9, Pages : 408

Foreword by : Prof. Lotfi A. Zadeh, University of California, Berkeley.

Contents : Introduction, Fuzzy Logic and Neural Networks : Models, Integration, and Soft Computing, Pattern Classification, Other Applications of Fuzzy MLP, Self-Organization, Pixel Classification, and Object Extraction, Feature Evaluation, Rule Generation and Inferencing, Using Knowledge-Based Networks and Fuzzy Sets, Rough-Fuzzy Knowledge-Based Networks.

ISBN No. 0-471-08635-5, Pages : 324

"The book is must reading for anyone who is interested in the conception, design and utilization of intelligent systems." - from the Foreword by Lotfi A. Zadeh (founder of fuzzy logic), Univ. of California, Berkeley

Contents : Introduction, Case Representation and Indexing, Case Selection and Retrieval, Case Adaptation, Case-Base Maintenance, Applications.

ISBN No. 1-584-88457-6, Pages : 280

"The importance of the book is hard to exaggerate. It is a treatise that is an
exemplar of authority, deep insights, encyclopedic coverage and high expository skill. .... Its authors, Professors S.K. Pal and P. Mitra are foremost authorities in pattern recognition, data mining and related fields." --- from the Foreword by Lotfi A. Zadeh, Univ. of California, Berkeley

"The book presents an unbeatable combination of theory and practice and gives a comprehensive view on methods and tools in modern KDD." --- from the Foreword by Zdzislaw Pawlak (founder of rough set theory), Polish Academy of Sciences, Warsaw

"This volume provides a very useful, thorough exposition of the many facets of this application from several perspectives. ... I am pleased to recommend it as a valuable addition to the books in this field." ---- from the Foreword by Laveen N Kanal, Univ. of Maryland, College Park

Contents : Introduction, Multiscale data condensation, Unsupervised feature selection, Active learning using support vector machine, Rough-fuzzy case generation, Rough-fuzzy clustering,Rough self-organizing  map, Classification rule generation and evaluation using modular rough-fuzzy MLP.

The book has also been published in cheaper paperback edition for South Asia Region.

ISBN No. 978-3-540-49606-9, Pages: 326.

Contents: Introduction,  Genetic Algorithms,  Supervised Classification Using Genetic Algorithms, Theoretical Analysis of the GA-Classifier,  Variable String Lengths in GA-Classifier, Chromosome Differentiation in VGA-Classifier, Multi-objective VGA-Classifier and Quantitative Indices,  Genetic Algorithms in Clustering, Genetic Learning in Bioinformatics, Genetic Algorithms and Web Intelligence, Appendices, References,  Index.

The book is unique in the sense of describing how a search technique, the genetic algorithm, can be used for pattern classification mainly through approximating decision boundaries, and it demonstrates the effectiveness of the genetic classifiers vis-à-vis several widely used classifiers, including neural networks. It provides a balanced mixture of theories, algorithms and applications, and in particular results from the bioinformatics and Web intelligence domains.

Critically review of this book is provided in International Association for Pattern Recognition (IAPR) Newsletter, vol. 30, no. 4, page 12, October 2008

Edited Monographs

ISBN No. 0-7803-0422-5, Pages : 539

Foreword by : Prof. Lotfi A. Zadeh, University of California, Berkeley.

Contents : Introduction, Cluster Analysis, Classifier Design and Feature Analysis, Image Processing and Machine Vision, Fuzzy Logic, Neural Networks and Learning in Pattern Recognition

This book consists of 50 pages of original material (written by the authors) and 51 seminal papers (most of them are IEEE publications) reprinted from journals.

The book was in the list of IEEE Best Sellers book till 1995

ISBN No. 0-8493-9467-8, Pages : 320

This book is unique of its own kind and consists of 13 articles, written by leading scientists over the world, demonstrating how the effectiveness of Genetic Algorithms can be exploited for solving some existing problems of pattern recognition and for designing efficient systems.

ISBN No. 981-4021-00-8, Pages : 454.

This is the first book on integrating rough sets and fuzzy sets for developing efficient decision making system with real life  applications. It has 20 articles written by leading experts over the world.

ISBN No. 3-7908-1268-4, Pages : 590

Foreword by : Prof. A. Rosenfeld, University of Maryland, College Park.

The volume provides a collection of 21 articles, written by leading experts all over the world, containing new material and describing, in a unified way with extensive real life applications,  the merits and significance of performing different image processing/analysis tasks in soft computing paradigm.

ISBN No. 1-85233-262-X, Pages : 372

Foreword by : Prof. H.J. Zimmenmann, Aachen, Germany.

The book, which is unique of its kind, describes how various soft computing tools can be applied to design and develop methodologies and systems   with case based reasoning (CBR) for real life decision-making or recognition problems. It comprises 15 contributions from experts from all over the world.

ISBN No. 981-02-4684-6, Pages : 636

Foreword by : Prof. Laveen N. Kanal, College Park, MD, USA.

This volume, containing contributions by experts from all over the world, is a collection of 21 articles which present reviews and research material describing the evolution and recent developments of various pattern recognition methodologies, ranging from statistical, syntactic/linguistic, fuzzy-set-theoretic, neural, genetic-algorithmic and rough-set-theoretic to hybrid soft computing, with significant real-life applications. In addition, the book describes efficient soft machine learning algorithms for data mining and applications, as well as up-to-date information and an extensive bibliography.

ISBN No. 981-02-4840-7, Pages: 420

The volume, contains 16 chapters, describes in a unified way, the basic concepts, theories and characteristic feature of integrating of formulating different facets of Neural Networks (NNs) and Systolic Arrays (SAs), as well as presents recent developments and significant applications. The articles, written by experts from all over the world, demonstrate the various ways this integration can be made to efficiently design methodologies, algorithms and architectures, and also implementations, for NN applications.

ISBN No. 981-238-251-8, Pages: 372

This volume provides a collection of sixteen articles containing review and new material. In a unified way, they describe the recent development of theories and methodologies in pattern recognition, image processing and vision using fuzzy logic, artificial neural networks, genetic algorithms, rough sets and wavelets with significant real life applications.

The book details the theory of granular computing and the role of a rough-neuro approach as a way of computing with words and designing intelligent recognition systems. It also demonstrates applications of the soft computing paradigm to case based reasoning, data mining and bio-informatics with a scope for future research.

ISBN No. 3-540-43059-8, Pages: 734

Foreword by : Prof. Zdzistaw Pawlak, University of Information Technology and Management, Warsaw, Poland.

Prof. Lotfi A. Zadeh, Department of EECS, University of California, Berkeley, USA.

It is well understood now in the soft computing community that hybrid approaches combining various paradigms provide very promising means for solving complex problems. Exploring the potential and strength of neural networks, rough sets, and rough-fuzzy hybridization, this book is devoted to rough-neural computing, which is also related to the novel aspect of computing with words. It has  29 articles contributed by experts from all over the world and provides foundational and methodological issues as well as applications in various fields.

ISBN No. 978-1-4398-0329-5, Pages: 266

This is the first book under the series of /Mathematical and Computational Imaging Sciences/of Chapman & Hall/ CRC. Emphasizing the utility of fuzzy, near and rough sets in image analysis, the volume having twelve chapters introduces the fundamentals and applications in the state of
the art of rough-fuzzy image analysis. The volume is unique in the sense that it presents a new approach to image analysis using near sets and tolerance spaces; provides a complete implementation of near sets and offers the NEAR system for download on http://wren.ece.umanitoba.ca/;
and covers an array of applications, particularly in medical imaging involving breast cancer diagnosis, laryngeal pathology diagnosis, and brain MR segmentation.

Edited Conference Proceedings

ISBN No. 0-7695-2101-0, Pages: 569

Beijing,  China,  September 20-24,   2004

ISBN: 3-540-30506-8, Pages: 808

Kolkata, India, December 20-22, 2005

ISBN: 978-3-540-77045-9, Pages: 677

Kolkata, India, December 18-22, 2007

ISBN: 978-3-642-02281-4, Pages: 378

Palermo, Italy, June 9-12, 2009

ISBN: 978-3-642-10545-6, Pages: 330

Jeju Island, Korea, December 10-12, 2009

ISBN: 978-3-642-11163-1, Pages: 631

Delhi, India, December 16-20, 2009

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