Microprocessor-Based and Intelligent Systems Engineering
Volume 29 2006
Fuzzy Logic Applications in Engineering Science Authors:

• J. Harris
• … show all 1 hide
  

Editors:

• Professor S. G. Tzafestas,
• Professor C. S. Chen,
• Professor T. Fokuda,
• Professor F. Harashima,
• Professor G. Schmidt,
• Professor N. K. Sinha,
• Professor D. Tabak,
• Professor K. Valavanis
• … show all 8 hide
  

ISBN: 978-1-4020-4077-1 (Print) 978-1-4020-4078-8 (Online)

About this bookFuzzy logic is a relatively new concept in science applications. Hitherto, fuzzy logic has been a conceptual process applied in the field of risk management. Its potential applicability is much wider than that, however, and its particular suitability for expanding our understanding of processes and information in science and engineering in our post-modern world is only just beginning to be appreciated.
Written as a companion text to the author’s earlier volume "An Introduction to Fuzzy Logic Applications", the book is aimed at professional engineers and students and those with an interest in exploring the potential of fuzzy logic as an information processing kit with a wide variety of practical applications in the field of engineering science and develops themes and topics introduced in the author’s earlier text.

Table of contents Foreword.- Preface.- Comments and Definitions.- Fuzzy Geometry.- Materials Selection.- Hydrodynamic Lubrication.- Elasto-Hydrodynamic Lubrication.- Fatigue and Creep.- Cumulative Fatigue Damage Analysis.- Reliability Assessment.- Process Control.- Total Risk and Reliability with Human Factors.- On System Condition Auditing.- Reframing Standards Using Fuzzy Sets for Improved Quality Control.- On the Correlation of Statistical and Automatic Process Control.- Road Transport Fuzzy Logistics — A Case Study.- Further Reading.- Index.

The book was reviewed and accepted by the board of the MBSE bookseries and the Series Editor.