Granular Computing Analysis and Design of Intelligent Systems

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 algor...

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Bibliographic Details
Main Author: Pedrycz, Witold
Format: eBook
Language:English
Published: United States CRC Press 2013
Taylor & Francis Group
Edition:1
Series:Industrial electronics series
Subjects:
Computer programming, programs, data
Expert systems (Computer science)
Granular computing
Membership Functions
Information Granules
Rough Sets
Membership Grades
Granular Description
Granular Computing
Logic Descriptors
Reciprocal Matrices
Fuzzy Sets
Inconsistency Index
Triangular Fuzzy Sets
Gaussian Membership Functions
Fuzzy Neural Networks
Shadowed Sets
Partition Matrix
Reciprocal Matrix
Information Granularity
Fuzzy Relation
Type-2 Fuzzy Sets
Granular Models
Fuzzy Model
Granular Representation
Fuzzy Rough Sets
Membership Degrees
Fuzzy Cognitive Maps
ISBN:1439886873, 9781439886878, 9781138074491, 1138074497, 9781439886816, 1439886814
Online Access:Get full text
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Table of Contents:
  • Front Cover -- Contents -- Preface -- The Author -- Foreword -- Chapter 1 - Information Granularity, Information Granules, and Granular Computing -- Chapter 2 - Key Formalisms for Representation of Information Granules and Processing Mechanisms -- Chapter 3 - Information Granules of Higher Type and Higher Order, and Hybrid Information Granules -- Chapter 4 - Representation of Information Granules -- Chapter 5 - The Design of Information Granules -- Chapter 6 - Optimal Allocation of Information Granularity: Building Granular Mappings -- Chapter 7 - Granular Description of Data and Pattern Classification -- Chapter 8 - Granular Models: Architectures and Development -- Chapter 9 - Granular Time Series -- Chapter 10 - From Models to Granular Models -- Chapter 11 - Collaborative and Linguistic Models of Decision Making -- Back Cover