Fuzzy Practical

A Practical Introduction to Fuzzy Logic using LISP  

Posted by bookwarrior at Nov. 30, 2015
A Practical Introduction to Fuzzy Logic using LISP

A Practical Introduction to Fuzzy Logic using LISP By Luis Argüelles Méndez
2016 | 388 Pages | ISBN: 3319231855 | PDF | 5 MB
Fuzzy Hierarchical Model for Risk Assessment: Principles, Concepts, and Practical Applications [Repost]

Xiaojun Wang - Fuzzy Hierarchical Model for Risk Assessment: Principles, Concepts, and Practical Applications
Published: 2013-04-12 | ISBN: 1447150422, 1447160746 | PDF | 169 pages | 3.57 MB
Foundations of Fuzzy Control: A Practical Approach, 2nd Edition (repost)

Jan Jantzen, "Foundations of Fuzzy Control: A Practical Approach, 2nd Edition"
2013 | ISBN: 1118506227 | English | 352 pages | PDF | 3 MB
Fuzzy Logic and Probability Applications: A Practical Guide by Timothy J. Ross [Repost]

Fuzzy Logic and Probability Applications: A Practical Guide (ASA-SIAM Series on Statistics and Applied Probability) by Timothy J. Ross
English | Dec 2, 2002 | ISBN: 0898715253 | 434 Pages | DJVU | 3 MB

Probabilists and fuzzy enthusiasts tend to disagree about which philosophy is best and they rarely work together. As a result, textbooks usually suggest only one of these methods for problem solving, but not both. This book is an exception.
Fuzzy Logic and Probability Applications: A Practical Guide

Timothy J. Ross, Jane M. Booker, W. Jerry Parkinson, "Fuzzy Logic and Probability Applications: A Practical Guide"
English | 2002 | ISBN: 0898715253 | PDF | pages: 433 | 23,1 mb
Analysis and Synthesis of Fuzzy Control Systems: A Model-Based Approach (repost)

Analysis and Synthesis of Fuzzy Control Systems: A Model-Based Approach (Automation and Control Engineering) by Gang Feng
English | 2010 | ISBN: 1420092642 | 295 pages | PDF | 5,6 MB

This book offers a unique reference devoted to the systematic analysis and synthesis of model-based fuzzy control systems. A reference for scientists and engineers in systems and control, the book also serves the needs of graduate students exploring fuzzy logic control. Many chapters feature application simulation examples and practical numerical examples based on MATLAB.
Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach [Repost]

Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach by Kazuo Tanaka
Wiley-Interscience | June 22 2001 | ISBN: 0471323241 | Pages: 320 | PDF | 5.37 MB

A comprehensive treatment of model-based fuzzy control systemsThis volume offers full coverage of the systematic framework for the stability and design of nonlinear fuzzy control systems. Building on the Takagi-Sugeno fuzzy model, authors Tanaka and Wang address a number of important issues in fuzzy control systems, including stability analysis, systematic design procedures, incorporation of performance specifications, numerical implementations, and practical applications.
Fuzzy Control and Modeling: Analytical Foundations and Applications (repost)

Fuzzy Control and Modeling: Analytical Foundations and Applications by Hao Ying
English | 1 edition | August 1, 2000 | ISBN-10: 0780334973 | 342 pages | PDF | 12.5 Mb

The emerging, powerful fuzzy control paradigm has led to the worldwide success of countless commercial products and real-world applications. Fuzzy control is exceptionally practical and cost-effective due to its unique ability to accomplish tasks without knowing the mathematical model of the system, even if it is nonlinear, time varying and complex.
Fuzzy Hierarchical Model for Risk Assessment: Principles, Concepts, and Practical Applications

Hing Kai Chan, Xiaojun Wang, "Fuzzy Hierarchical Model for Risk Assessment: Principles, Concepts, and Practical Applications"
2013 | ISBN-10: 1447150422 | 176 pages | PDF | 3,6 MB
Analysis and Synthesis of Fuzzy Control Systems: A Model-Based Approach (Repost)

Gang Feng, "Analysis and Synthesis of Fuzzy Control Systems: A Model-Based Approach"
English | 2010 | ISBN: 1420092642 | 295 pages | PDF | 5 MB

This book offers a unique reference devoted to the systematic analysis and synthesis of model-based fuzzy control systems. A reference for scientists and engineers in systems and control, the book also serves the needs of graduate students exploring fuzzy logic control. Many chapters feature application simulation examples and practical numerical examples based on MATLAB.