Cantitate/Preț
Produs
Total produse
Vezi coșul
Granular Computing: An Emerging Paradigm de Witold Pedrycz

Granular Computing: An Emerging Paradigm: Studies in Fuzziness and Soft Computing, cartea 70

Editat de Witold Pedrycz
en Limba Engleză Hardback – 6 iun 2001
Granular Computing is concerned with constructing and processing carried out at the level of information granules. Using information granules, we comprehend the world and interact with it, no matter which intelligent endeavor this may involve. The landscape of granular computing is immensely rich and involves set theory (interval mathematics), fuzzy sets, rough sets, random sets linked together in a highly synergetic environment. This volume is a first comprehensive treatment of this emerging paradigm and embraces its fundamentals, underlying methodological framework, and a sound algorithmic environment. The panoply of applications covered includes system identification, telecommunications, linguistics and music processing. Written by experts in the field, this volume will appeal to all developing intelligent systems, either working at the methodological level or interested in detailed system realization.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (2) 42385 lei  6-8 săpt.
  CRC Press – 12 oct 2017 42385 lei  6-8 săpt.
  Physica-Verlag HD – 21 oct 2010 93977 lei  6-8 săpt.
Hardback (1) 94586 lei  6-8 săpt.
  Physica-Verlag HD – 6 iun 2001 94586 lei  6-8 săpt.

Din seria Studies in Fuzziness and Soft Computing

Preț: 94586 lei

Preț vechi: 118233 lei
-20% Nou

Puncte Express: 1419
Preț estimativ în valută:
18105€ • 19467$ • 15093£

Carte tipărită la comandă

Livrare economică 20 decembrie 24 - 03 ianuarie 25

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783790813876
ISBN-10: 3790813877
Pagini: 404
Ilustrații: VI, 398 p.
Dimensiuni: 155 x 235 x 27 mm
Greutate: 0.74 kg
Ediția:2001
Editura: Physica-Verlag HD
Colecția Physica
Seria Studies in Fuzziness and Soft Computing

Locul publicării:Heidelberg, Germany

Public țintă

Research

Cuprins

Interval Arithmetic and Interval Analysis: An Introduction.- Interval and Ellipsoidal Uncertainty Models.- Nonlinear Bounded-Error Parameter Estimation Using Interval Computation.- Random Sets: Theory and Applications.- Rough Sets and Boolean Reasoning..- Granulation and Nearest Neighborhoods: Rough Set Approach..- An Inquiry into the Theory of Defuzzification.- Fuzzy Partitioning Methods.- A Coding Method to Handle Linguistic Variables.- A Formal Theory of Fuzzy Natural Language Quantification and its Role in Granular Computing..- Granularity and Specificity in Fuzzy Rule-Based Systems.- Granular Computing in Neural Networks.- Fuzzy Clustering for Multiple-Model Approaches in System Identification and Control..- Information Granulation in Automated Modeling.- Optical Music Recognition: the Case of Granular Computing.- Modeling MPEG VBR Video Traffic Using Type-2 Fuzzy Logic Systems.- Induction of Rules about Complications with the Use of Rough Sets.

Textul de pe ultima copertă

Granular Computing is concerned with constructing and processing carried out at the level of information granules. Using information granules, we comprehend the world and interact with it, no matter which intelligent endeavor this may involve. The landscape of granular computing is immensely rich and involves set theory (interval mathematics), fuzzy sets, rough sets, random sets linked together in a highly synergetic environment. This volume is a first comprehensive treatment of this emerging paradigm and embraces its fundamentals, underlying methodological framework, and a sound algorithmic environment. The panoply of applications covered includes system identification, telecommunications, linguistics and music processing. Written by experts in the field, this volume will appeal to all developing intelligent systems, either working at the methodological level or interested in detailed system realization.

Caracteristici

A well-balanced approach to the area covering the methodology, detailed algorithms and computational aspects of Granular Computing, with abundant illustrative material The reader becomes familiar with the paradigm of Granular Computing and its usage to the design of intelligent systems Includes supplementary material: sn.pub/extras

Notă biografică

Witold Pedrycz, Ph.D., is Professor and Canada Research Chair (CRC) in Computational Intelligence in the Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada. He is also with the Systems Research Institute of the Polish Academy of Sciences, Warsaw, Poland and King Abdulaziz University, Saudi Arabia. In 2009, Dr. Pedrycz was elected a foreign member of the Polish Academy of Sciences. He is a Fellow of the Royal Society of Canada, the Institute of Electronic and Electrical Engineers (IEEE), International Fuzzy Systems Association (IFSA), International Society of Management Engineers, Engineers Canada, and The Engineering Institute of Canada. He is editor-in-chief of Information Sciences and editor-in-chief of IEEE Transactions on Systems, Man, and Cybernetics, Part A. He currently serves as an associate editor of IEEE Transactions on Fuzzy Systems and a number of other international journals. In 2007, he received the prestigious Norbert Wiener award from the IEEE Systems, Man, and Cybernetics Society. Dr. Pedrycz is a recipient of the IEEE Canada Computer Engineering Medal. In 2009, he received a Cajastur Prize for Soft Computing from the European Centre for Soft Computing for "pioneering and multifaceted contributions to granular computing." In 2013 he received a prestigious Killam Prize.

Recenzii

"Dr. Pedrycz is an internationally acclaimed authority in the granular computing area. ... I particularly appreciate his elegant writing style. This book is the first comprehensive treatise of the granular computing techniques and their application to the design of intelligent systems. ... As an application-oriented practitioner in computational intelligence systems, I think that this book will be a welcome and strongly needed addition to this field. I cannot think of any other expert worldwide more qualified than Prof. Pedycz to write such a book."
—Emil M. Petriu, University of Ottawa, Canada
"This volume covers most of the interesting and important topics in granular computing. The contents may be well understood by senior or master course students in the field of computer science ... also a good textbook for engineers who are involved in developing so-called intelligent systems."
—Kaoru Hirota, Tokyo Institute of Technology, Japan
"Dr. Pedrycz’s latest magnum opus ... breaks new ground in many directions. [It] takes an important step toward achievement of human-level machine intelligence—a principal goal of artificial intelligence (AI) since its inception. ... [This is] a remarkably well put together and reader-friendly collection of concepts and techniques, which constitute granular computing. ... [The book] combines extraordinary breadth with extraordinary depth. It contains a wealth of new ideas, and unfolds a vast panorama of concepts, methods, and applications. ... Dr. Pedrycz’s development and description of these concepts, techniques, and their applications is a truly remarkable achievement. ... must reading for all who are concerned with the design and application of intelligent systems."
—From the Foreword by Lotfi A. Zadeh, University of California, Berkeley, USA

Descriere

Descriere de la o altă ediție sau format:
Granular computing focuses on formalizing information granules and unifying them to create a coherent methodological and developmental environment for intelligent system design and analysis. This innovative book presents the unified principles of granular computing along with its comprehensive algorithmic framework and design practices. It explores key concepts and formalisms as well as applications. It also emphasizes the need to consider information granularity as an important design asset that helps in the construction of more realistic models of real-world systems and in facilitating collaborative pursuits of system modeling.