Fuzzy Logic - Algorithms, Techniques and Implementations

The purpose of this book is to introduce Hybrid Algorithms, Techniques, and Implementations of Fuzzy Logic. The book consists of thirteen chapters highlighting models and principles of fuzzy logic and issues on its techniques and implementations. The intended readers of this book are engineers, researchers, and graduate students interested in fuzzy logic systems.ContentsPrefacePart 1 Hybrid Fuzzy Logic Algorithms1 Ambiguity and Social Judgment: Fuzzy Set Model and Data Analysis2 From Fuzzy Datalog to Multivalued Knowledge-Base3 Resolution Principle and Fuzzy Logic4 Standard Fuzzy Sets and so me Many-Valued Logics5 Parametric Type-2 Fuzzy Logic Systems6 Application of Adaptive Neuro Fuzzy Inference System in Supp ly Chain Management Evaluation7 Fuzzv Image Segmentation Algorithms in Wavelet DomainPart 2 Techniques and Implementation8 Fuzzy Logic Approach fbr QoS Routing Analysis9 Term Weighting fbr Information Retrieval Using Fuzzy Logic10 Artificial Intelligence Techniques of Estimating of Torque fbr 8:6 Switched Reluctance Motor11 Engine Knock Detection Based on Computational Intelligence Methods12 Fault Diagnostic of Rotating Machines Based on Artificial Intelligence: Case Studies of the Centrais Eletricas do Norte do Brazil S/A - Eletrobras-Eletronorte13 Understanding Driver Car-Following Behavior Using a Fuzzy Logic Car-Following Model 00 preface_ Fuzzy Logic – Algorithms, Techniques and Implementations......Page 1 Part 1_Hybrid Fuzzy Logic Algorithms......Page 13 01_Ambiguity and Social Judgment: Fuzzy Set Model and Data Analysis......Page 15 02_From Fuzzy Datalog to Multivalued Knowledge-Base......Page 37 03_Resolution Principle and Fuzzy Logic......Page 67 04_Standard Fuzzy Sets and some Many-Valued Logics......Page 87 05_Parametric Type-2 Fuzzy Logic Systems......Page 109 06_Application of Adaptive Neuro Fuzzy Inference System in Supply Chain Management Evaluation......Page 127 07_Fuzzy Image Segmentation Algorithms in Wavelet Domain......Page 139 Part 2_ Techniques and Implementation......Page 159 08_Fuzzy Logic Approach for QoS Routing Analysis......Page 161 09_Term Weighting for Information Retrieval Using Fuzzy Logic......Page 185 10_Artificial Intelligence Techniques of Estimating of Torque for 8:6 Switched Reluctance Motor......Page 205 11_Engine Knock Detection Based on Computational Intelligence Methods......Page 223 12_Fault Diagnostic of Rotating Machines Based on Artificial Intelligence: Case Studies of the Centrais Elétricas do Norte do Brazil S/A – Eletrobras-Eletronorte......Page 251 13_Understanding Driver Car-Following Behavior Using a Fuzzy Logic Car-Following Model ......Page 277 Fuzzy Logic is becoming an essential method of solving problems in all domains. It gives tremendous impact on the design of autonomous intelligent systems. The purpose of this book is to introduce Hybrid Algorithms, Techniques, and Implementations of Fuzzy Logic. The book consists of thirteen chapters highlighting models and principles of fuzzy logic and issues on its techniques and implementations. The intended readers of this book are engineers, researchers, and graduate students interested in fuzzy logic systems