Fuzzy Decision Making In Modeling And Control

Download Fuzzy Decision Making In Modeling And Control full books in PDF, epub, and Kindle. Read online free Fuzzy Decision Making In Modeling And Control ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Fuzzy Decision Making in Modeling and Control

Fuzzy Decision Making in Modeling and Control
Author :
Publisher : World Scientific
Total Pages : 356
Release :
ISBN-10 : 9789812777911
ISBN-13 : 9812777911
Rating : 4/5 (911 Downloads)

Book Synopsis Fuzzy Decision Making in Modeling and Control by : Joao M. C. Sousa

Download or read book Fuzzy Decision Making in Modeling and Control written by Joao M. C. Sousa and published by World Scientific. This book was released on 2002 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Decision making and control are two fields with distinct methods for solving problems, and yet they are closely related. This book bridges the gap between decision making and control in the field of fuzzy decisions and fuzzy control, and discusses various ways in which fuzzy decision making methods can be applied to systems modeling and control.Fuzzy decision making is a powerful paradigm for dealing with human expert knowledge when one is designing fuzzy model-based controllers. The combination of fuzzy decision making and fuzzy control in this book can lead to novel control schemes that improve the existing controllers in various ways. The following applications of fuzzy decision making methods for designing control systems are considered: OCo Fuzzy decision making for enhancing fuzzy modeling. The values of important parameters in fuzzy modeling algorithms are selected by using fuzzy decision making.OCo Fuzzy decision making for designing signal-based fuzzy controllers. The controller mappings and the defuzzification steps can be obtained by decision making methods.OCo Fuzzy design and performance specifications in model-based control. Fuzzy constraints and fuzzy goals are used.OCo Design of model-based controllers combined with fuzzy decision modules. Human operator experience is incorporated for the performance specification in model-based control.The advantages of bringing together fuzzy control and fuzzy decision making are shown with multiple examples from real and simulated control systems."


Fuzzy Decision Making in Modeling and Control Related Books

Fuzzy Decision Making in Modeling and Control
Language: en
Pages: 356
Authors: Joao M. C. Sousa
Categories: Computers
Type: BOOK - Published: 2002 - Publisher: World Scientific

DOWNLOAD EBOOK

Decision making and control are two fields with distinct methods for solving problems, and yet they are closely related. This book bridges the gap between decis
Fuzzy Modeling and Control
Language: en
Pages: 737
Authors: Andrzej Piegat
Categories: Computers
Type: BOOK - Published: 2013-03-19 - Publisher: Physica

DOWNLOAD EBOOK

In the last ten years, a true explosion of investigations into fuzzy modeling and its applications in control, diagnostics, decision making, optimization, patte
Fuzzy Logic Control
Language: en
Pages: 344
Authors: H. B. Verbruggen
Categories: Technology & Engineering
Type: BOOK - Published: 1999 - Publisher: World Scientific

DOWNLOAD EBOOK

Fuzzy logic control has become an important methodology in control engineering. This volume deals with applications of fuzzy logic control in various domains. T
Fuzzy Multicriteria Decision-Making
Language: en
Pages: 328
Authors: Witold Pedrycz
Categories: Technology & Engineering
Type: BOOK - Published: 2011-06-15 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Fuzzy Multicriteria Decision-Making: Models, Algorithms and Applications addresses theoretical and practical gaps in considering uncertainty and multicriteria f
Insight into Fuzzy Modeling
Language: en
Pages: 268
Authors: Vilém Novák
Categories: Technology & Engineering
Type: BOOK - Published: 2016-04-04 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Provides a unique and methodologically consistent treatment of various areas of fuzzy modeling and includes the results of mathematical fuzzy logic and linguist