Granular Computing

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A01=Witold Pedrycz
advanced granular computing algorithms
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Author_Witold Pedrycz
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Category1=Non-Fiction
Category=THR
Category=TJF
Category=TQ
Category=UYQ
collaborative system modeling
computational intelligence
computational intelligence methods
COP=United States
decision making models
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Fuzzy Cognitive Maps
Fuzzy Model
Fuzzy Neural Networks
Fuzzy Relation
Fuzzy Rough Sets
Fuzzy Sets
Gaussian Membership Functions
Granular Computing
Granular Description
Granular Models
Granular Representation
granular system modeling
granular time series
GrC
human-centric intelligent systems
hybrid data representation
Inconsistency Index
Information Granularity
information granule design
Information Granules
intelligent systems
Language_English
Logic Descriptors
Membership Degrees
Membership Functions
Membership Grades
optimal granularity allocation
PA=Available
Partition Matrix
pattern classification techniques
Price_€100 and above
principle of justifiable granularity
PS=Active
Reciprocal Matrices
Reciprocal Matrix
Rough Sets
Shadowed Sets
softlaunch
system modeling
Triangular Fuzzy Sets
Type-2 Fuzzy Sets

Product details

  • ISBN 9781439886816
  • Weight: 589g
  • Dimensions: 156 x 234mm
  • Publication Date: 09 May 2013
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
  • Language: English
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Information granules, as encountered in natural language, are implicit in nature. To make them fully operational so they can be effectively used to analyze and design intelligent systems, information granules need to be made explicit. An emerging discipline, granular computing focuses on formalizing information granules and unifying them to create a coherent methodological and developmental environment for intelligent system design and analysis. Granular Computing: Analysis and Design of Intelligent Systems presents the unified principles of granular computing along with its comprehensive algorithmic framework and design practices.

  • Introduces the concepts of information granules, information granularity, and granular computing
  • Presents the key formalisms of information granules
  • Builds on the concepts of information granules with discussion of higher-order and higher-type information granules
  • Discusses the operational concept of information granulation and degranulation by highlighting the essence of this tandem and its quantification in terms of the associated reconstruction error
  • Examines the principle of justifiable granularity
  • Stresses the need to look at information granularity as an important design asset that helps construct more realistic models of real-world systems or facilitate collaborative pursuits of system modeling
  • Highlights the concepts, architectures, and design algorithms of granular models
  • Explores application domains where granular computing and granular models play a visible role, including pattern recognition, time series, and decision making

Written by an internationally renowned authority in the field, this innovative book introduces readers to granular computing as a new paradigm for the analysis and synthesis of intelligent systems. It is a valuable resource for those engaged in research and practical developments in computer, electrical, industrial, manufacturing, and biomedical engineering. Building from fundamentals, the book is also suitable for readers from nontechnical disciplines where information granules assume a visible position.

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.

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