Fuzzy Logic Applications in Engineering Science
Harris, J.
Fuzzy Logic Applications in Engineering Science [electronic resource] / by J. Harris ; edited by S. G. Tzafestas, C. S. Chen, T. Fokuda, F. Harashima, G. Schmidt, N. K. Sinha, D. Tabak, K. Valavanis. - XVIII, 226 p. online resource. - Microprocessor-Based and Intelligent Systems Engineering ; 29 . - Microprocessor-Based and Intelligent Systems Engineering ; 29 .
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.
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 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.
9781402040788
10.1007/1-4020-4078-4 doi
Engineering.
Engineering mathematics.
Mechanical engineering.
Industrial engineering.
System safety.
Engineering.
Numerical and Computational Methods in Engineering.
Appl.Mathematics/Computational Methods of Engineering.
Structural Mechanics.
Mechanical Engineering.
Industrial and Production Engineering.
Quality Control, Reliability, Safety and Risk.
Q342
006.3
Fuzzy Logic Applications in Engineering Science [electronic resource] / by J. Harris ; edited by S. G. Tzafestas, C. S. Chen, T. Fokuda, F. Harashima, G. Schmidt, N. K. Sinha, D. Tabak, K. Valavanis. - XVIII, 226 p. online resource. - Microprocessor-Based and Intelligent Systems Engineering ; 29 . - Microprocessor-Based and Intelligent Systems Engineering ; 29 .
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.
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 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.
9781402040788
10.1007/1-4020-4078-4 doi
Engineering.
Engineering mathematics.
Mechanical engineering.
Industrial engineering.
System safety.
Engineering.
Numerical and Computational Methods in Engineering.
Appl.Mathematics/Computational Methods of Engineering.
Structural Mechanics.
Mechanical Engineering.
Industrial and Production Engineering.
Quality Control, Reliability, Safety and Risk.
Q342
006.3