Fuzzy Logic Applications in Engineering Science

• Main Author: Harris, J. (Author)
• Corporate Author: SpringerLink (Online service)
• Other Authors: Tzafestas, S. G. (Editor), Chen, C. S. (Editor), Fokuda, T. (Editor), Harashima, F. (Editor), Schmidt, G. (Editor), Sinha, N. K. (Editor), Tabak, D. (Editor), Valavanis, K. (Editor)
• Format: Electronic eBook
• Language: English
• Published: Dordrecht : Springer Netherlands, 2006.
• Series: Microprocessor-Based and Intelligent Systems Engineering ; 29
• Subjects: Engineering.; Applied mathematics.; Engineering mathematics.; Computational intelligence.; Structural mechanics.; Mechanical engineering.; Industrial engineering.; Production engineering.; Quality control.; Reliability.; Industrial safety.; Computational Intelligence.; Appl.Mathematics/Computational Methods of Engineering.; Structural Mechanics.; Mechanical Engineering.; Industrial and Production Engineering.; Quality Control, Reliability, Safety and Risk.

Fuzzy 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...

Table of Contents:

• Comments and Definitions
• Fuzzy Geometry
• Material Selection
• Hydrodynamic Lubrication
• Elastohydrodynamic 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.