Description
Granular Computing
Analysis and Design of Intelligent Systems
Industrial Electronics Series
Author: Pedrycz Witold
Language: EnglishSubjects for Granular Computing:
Keywords
Information Granules; information granularity; Fuzzy Sets; Membership Functions; granular computing; GrC; human-centric intelligent systems; Type-2 Fuzzy Sets; system modeling; Membership Grades; principle of justifiable granularity; Rough Sets; intelligent systems; Granular Models; Fuzzy Model; Shadowed Sets; granular system modeling; Granular Representation; Membership Degrees; computational intelligence; Fuzzy Rough Sets; information granule design; Partition Matrix; granular time series; Granular Description; Fuzzy Relation; Gaussian Membership Functions; Reciprocal Matrices; Reciprocal Matrix; Fuzzy Cognitive Maps; Inconsistency Index; Logic Descriptors; Triangular Fuzzy Sets; Fuzzy Neural Networks
Approximative price 232.80 €
In Print (Delivery period: 15 days).
Add to cart the book of Pedrycz WitoldPublication date: 05-2013
· 15.6x23.4 cm · Hardback
Approximative price 87.11 €
In Print (Delivery period: 14 days).
Add to cart the book of Pedrycz WitoldPublication date: 10-2017
· 15.6x23.4 cm · Paperback
Description
/li>Contents
/li>Readership
/li>Biography
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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.
Information Granularity, Information Granules, and Granular Computing. Key Formalisms for Representation of Information Granules and Processing Mechanisms. Information Granules of Higher Type and Higher Order, and Hybrid Information Granules. Representation of Information Granules. The Design of Information Granules. Optimal Allocation of Information Granularity: Building Granular Mappings. Granular Description of Data and Pattern Classification. Granular Models: Architectures and Development. Granular Time Series. From Models to Granular Models. Collaborative and Linguistic Models of Decision Making. Index.
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.