The Resource Fuzzy evidence in identification, forecasting and diagnosis, Alexander P. Rotshtein and Hanna B. Rakytyanska, (electronic resource)

Fuzzy evidence in identification, forecasting and diagnosis, Alexander P. Rotshtein and Hanna B. Rakytyanska, (electronic resource)

Label
Fuzzy evidence in identification, forecasting and diagnosis
Title
Fuzzy evidence in identification, forecasting and diagnosis
Statement of responsibility
Alexander P. Rotshtein and Hanna B. Rakytyanska
Creator
Contributor
Provider
Subject
Genre
Language
eng
Summary
The purpose of this book is to present a methodology for designing and tuning fuzzy expert systems in order to identify nonlinear objects; that is, to build input-output models using expert and experimental information. The results of these identifications are used for direct and inverse fuzzy evidence in forecasting and diagnosis problem solving. The book is organised as follows: Chapter 1 presents the basic knowledge about fuzzy sets, genetic algorithms and neural nets necessary for a clear understanding of the rest of this book. Chapter 2 analyzes direct fuzzy inference based on fuzzy if-then rules. Chapter 3 is devoted to the tuning of fuzzy rules for direct inference using genetic algorithms and neural nets. Chapter 4 presents models and algorithms for extracting fuzzy rules from experimental data. Chapter 5 describes a method for solving fuzzy logic equations necessary for the inverse fuzzy inference in diagnostic systems. Chapters 6 and 7 are devoted to inverse fuzzy inference based on fuzzy relations and fuzzy rules. Chapter 8 presents a method for extracting fuzzy relations from data. All the algorithms presented in Chapters 2-8 are validated by computer experiments and illustrated by solving medical and technical forecasting and diagnosis problems. Finally, Chapter 9 includes applications of the proposed methodology in dynamic and inventory control systems, prediction of results of football games, decision making in road accident investigations, project management and reliability analysis
Member of
Cataloging source
GW5XE
http://library.link/vocab/creatorName
Rotshtein, Alexander P
Image bit depth
0
LC call number
QA9.64
LC item number
.R68 2012
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
  • SpringerLink
  • Rakytyanska, Hanna B
Series statement
Studies in Fuzziness and Soft Computing,
Series volume
275
http://library.link/vocab/subjectName
  • Fuzzy logic
  • Fuzzy sets
  • Genetic algorithms
  • Pattern recognition systems
  • Fuzzy logic
  • Fuzzy sets
  • Genetic algorithms
  • Pattern recognition systems
  • Ingénierie
Label
Fuzzy evidence in identification, forecasting and diagnosis, Alexander P. Rotshtein and Hanna B. Rakytyanska, (electronic resource)
Instantiates
Publication
Antecedent source
mixed
Bibliography note
Includes bibliographical references
Carrier category
online bron
Carrier category code
  • cr
Carrier MARC source
rdacarrier/dut
Color
not applicable
Content category
tekst
Content type code
  • txt
Content type MARC source
rdacontent/dut
Contents
Preface -- Fundamentals of intellectual technologies -- Direct inference based on fuzzy rules -- Fuzzy rules tuning for direct inference -- Fuzzy rules extraction from experimental data -- Inverse inference based on fuzzy relational equations -- Inverse inference with fuzzy relations tuning -- Inverse inference based on fuzzy rules -- Fuzzy relations extraction from experimental data -- Applied fuzzy systems
Dimensions
unknown
Extent
1 online resource (xiv, 313 p.)
File format
multiple file formats
Form of item
  • online
  • electronic
Isbn
9783642257865
Lccn
2011942887
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia/dut
Media type code
  • c
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
  • (OCoLC)775595570
  • (OCoLC)ocn775595570
Label
Fuzzy evidence in identification, forecasting and diagnosis, Alexander P. Rotshtein and Hanna B. Rakytyanska, (electronic resource)
Publication
Antecedent source
mixed
Bibliography note
Includes bibliographical references
Carrier category
online bron
Carrier category code
  • cr
Carrier MARC source
rdacarrier/dut
Color
not applicable
Content category
tekst
Content type code
  • txt
Content type MARC source
rdacontent/dut
Contents
Preface -- Fundamentals of intellectual technologies -- Direct inference based on fuzzy rules -- Fuzzy rules tuning for direct inference -- Fuzzy rules extraction from experimental data -- Inverse inference based on fuzzy relational equations -- Inverse inference with fuzzy relations tuning -- Inverse inference based on fuzzy rules -- Fuzzy relations extraction from experimental data -- Applied fuzzy systems
Dimensions
unknown
Extent
1 online resource (xiv, 313 p.)
File format
multiple file formats
Form of item
  • online
  • electronic
Isbn
9783642257865
Lccn
2011942887
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia/dut
Media type code
  • c
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
  • (OCoLC)775595570
  • (OCoLC)ocn775595570

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