Fuzzy Reasoning in Information, Decision and Control Systems
Published on 3. October 2013
Book
Paperback/Softback
XX, 568 pages
978-94-017-4082-1 (ISBN)
Description
Great progresses have been made in the application of fuzzy set theory and fuzzy logic. Most remarkable area of application is 'fuzzy control', where fuzzy logic was first applied to plant control systems and its use is expanding to consumer products. Most of fuzzy control systems uses fuzzy inference with max-min or max-product composition, similar to the algorithm that first used by Mamdani in 1970s. Some algorithms are developed to refine fuzzy controls systems but the main part of algorithm stays the same. Triggered by the success of fuzzy control systems, other ways of applying fuzzy set theory are also investigated. They are usually referred to as 'fuzzy expert sys tems', and their purpose are to combine the idea of fuzzy theory with AI based approach toward knowledge processing. These approaches can be more generally viewed as 'fuzzy information processing', that is to bring fuzzy idea into informa tion processing systems.
More details
Series
Edition
Softcover reprint of the original 1st ed. 1994
Language
English
Place of publication
Dordrecht
Netherlands
Target group
Professional and scholarly
Research
Illustrations
XX, 568 p.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 32 mm
Weight
885 gr
ISBN-13
978-94-017-4082-1 (9789401740821)
DOI
10.1007/978-0-585-34652-6
Schweitzer Classification
Other editions
Additional editions
S.G. Tzafestas | Anastasios N. Venetsanopoulos
Fuzzy Reasoning in Information, Decision and Control Systems
E-Book
08/2007
Springer
€309.23
Available for download
S.G. Tzafestas | Anastasios N. Venetsanopoulos
Fuzzy Reasoning in Information, Decision and Control Systems
Book
02/1994
Kluwer Academic Publishers
€318.50
Shipment within 15-20 days
Content
General Issues.- Fuzzy Sets and Fuzzy Reasoning: An Introduction.- On The Validation of Fuzzy Knowledge Bases.- Software Representation of Fuzzy Sets and Logic.- Fuzzy Dynamic Systems: Analysis, Control and Identification.- Neuro-Fuzzy Systems.- Neural Net Applications in Fuzzy Systems.- Neuro-Fuzzy Expert Systems: Overview with a Case Study.- Fuzzy Reasoning Through A General Neural Network Model.- Fuzzy Controllers.- Demystification of Fuzzy Control.- Analysis, Design, Implementation and Critical Appreciation of Fuzzy Logic Controller.- Fuzzy Controller Design: A Sliding Mode Approach.- Multivariable Fuzzy Sliding Mode Control by Using a Simplex of Control Vectors.- Knowledge Representation and Information Processing in Intelligent Controllers.- Fuzzy Reasoning and Estimation Methodologies.- Fuzzy Parameter and State Estimation.- A Fuzzy Reasoning Methodology for Rule-Based Systems.- Computing the Multivalued Shape of a Pattern Class.- Applications.- Robotic Control Using Fuzzy Logic and Parallel Processing.- Fuzzy Control of Robotic Manipulators and Mechanical Systems.- Fuzzy Control for Robot Manipulators with Artificial Rubber Muscles.- Fuzzy Petri Nets and Applications.- Fuzzy Logic-Based Tools for the Acquisition and Representation of Knowledge in Biomedical Applications.- Fuzzy Logic Design of a Nondestructive Robotic Fruit Collector.