Fuzzy Logic with Engineering Applications, 4th Edition

The latest update on this popular textbook The importance of concepts and methods based on fuzzy logic and fuzzy set theory has been rapidly growing since the early 1990s and all the indications are that this trend will continue in the foreseeable future. __Fuzzy Logic with Engineering Applications, Fourth Edition__ is a new edition of the popular textbook with 15% of new and updated material. Updates have been made to most of the chapters and each chapter now includes new end-of-chapter problems. Key features: * New edition of the popular textbook with 15% of new and updated material. * Includes new examples and end-of-chapter problems. * Has been made more concise with the removal of out of date material. * Covers applications of fuzzy logic to engineering and science. * Accompanied by a website hosting a solutions manual and software. The book is essential reading for graduates and senior undergraduate students in civil, chemical, mechanical and electrical engineering as wells as researchers and practitioners working with fuzzy logic in industry. Title Page Copyright Contents About the Author Preface to the Fourth Edition Chapter 1 Introduction The Case for Imprecision A Historical Perspective The Utility of Fuzzy Systems Limitations of Fuzzy Systems The Illusion: Ignoring Uncertainty and Accuracy Uncertainty and Information Fuzzy Sets and Membership Chance versus Fuzziness Intuition of Uncertainty: Fuzzy versus Probability Sets as Points in Hypercubes Summary References Problems Chapter 2 Classical Sets and Fuzzy Sets Classical Sets Operations on Classical Sets Properties of Classical (Crisp) Sets Mapping of Classical Sets to Functions Fuzzy Sets Fuzzy Set Operations Properties of Fuzzy Sets Alternative Fuzzy Set Operations Summary References Problems Chapter 3 Classical Relations and Fuzzy Relations Cartesian Product Crisp Relations Cardinality of Crisp Relations Operations on Crisp Relations Properties of Crisp Relations Composition Fuzzy Relations Cardinality of Fuzzy Relations Operations on Fuzzy Relations Properties of Fuzzy Relations Fuzzy Cartesian Product and Composition Tolerance and Equivalence Relations Crisp Equivalence Relation Crisp Tolerance Relation Fuzzy Tolerance and Equivalence Relations Value Assignments Cosine Amplitude Max–Min Method Other Similarity Methods Other Forms of the Composition Operation Summary References Problems Chapter 4 Properties of Membership Functions, Fuzzification, and Defuzzification Features of the Membership Function Various Forms Fuzzification Defuzzification to Crisp Sets λ-Cuts for Fuzzy Relations Defuzzification to Scalars Summary References Problems Chapter 5 Logic and Fuzzy Systems Part I: Logic Classical Logic Tautologies Contradictions Equivalence Exclusive Or and Exclusive Nor Logical Proofs Deductive Inferences Fuzzy Logic Approximate Reasoning Other Forms of the Implication Operation Part II: Fuzzy Systems Natural Language Linguistic Hedges Fuzzy (Rule-Based) Systems Aggregation of Fuzzy Rules Graphical Techniques of Inference Summary References Problems Chapter 6 Historical Methods of Developing Membership Functions Membership Value Assignments Intuition Inference Rank Ordering Neural Networks Genetic Algorithms Inductive Reasoning Summary References Problems Chapter 7 Automated Methods for Fuzzy Systems Definitions Batch Least Squares Algorithm Recursive Least Squares Algorithm Gradient Method Clustering Method Learning from Examples Modified Learning from Examples Summary References Problems Chapter 8 Fuzzy Systems Simulation Fuzzy Relational Equations Nonlinear Simulation Using Fuzzy Systems Fuzzy Associative Memories (FAMs) Summary References Problems Chapter 9 Decision Making with Fuzzy Information Fuzzy Synthetic Evaluation Fuzzy Ordering Nontransitive Ranking Preference and Consensus Multiobjective Decision Making Fuzzy Bayesian Decision Method Decision Making under Fuzzy States and Fuzzy Actions Example Summary Summary References Problems Chapter 10 Fuzzy Classification and Pattern Recognition Fuzzy Classification Classification by Equivalence Relations Crisp Relations Fuzzy Relations Cluster Analysis Cluster Validity c-Means Clustering Hard c-Means (HCM) Fuzzy c-Means (FCM) Fuzzy c-Means Algorithm Classification Metric Hardening the Fuzzy c-Partition Similarity Relations from Clustering Fuzzy Pattern Recognition Single-Sample Identification Multifeature Pattern Recognition Summary References Problems Chapter 11 Fuzzy Control Systems Control System Design Problem Control (Decision) Surface Assumptions in a Fuzzy Control System Design Simple Fuzzy Logic Controllers Examples of Fuzzy Control System Design Aircraft Landing Control Problem Fuzzy Engineering Process Control Classical Feedback Control Classical PID Control Fuzzy Control Multi-Input, Multi-Output (MIMO) Control Systems Fuzzy Statistical Process Control Measurement Data: Traditional SPC Plant Simulation Establishing Fuzzy Membership Values Attribute Data: Traditional SPC Industrial Applications Summary References Problems Chapter 12 Applications of Fuzzy Systems Using Miscellaneous Models Fuzzy Optimization One-Dimensional Optimization Fuzzy Cognitive Mapping Concept Variables and Causal Relations Paths and Cycles Indirect Effect Total Effect Indeterminacy Fuzzy Cognitive Maps Adjacency Matrix Threshold Function Feedback Min–Max Inference Approach Genetically Evolved Fuzzy Cognitive Maps Agent-Based Models Fuzzy Arithmetic and the Extension Principle Extension Principle Crisp Functions, Mapping, and Relations Functions of Fuzzy Sets: Extension Principle Fuzzy Algebra Fuzzy Arithmetic Data Fusion Kalman Filter in Data Fusion Summary References Problems Chapter 13 Monotone Measures: Belief, Plausibility, Probability, and Possibility Monotone Measures Belief and Plausibility Evidence Theory Probability Measures Possibility and Necessity Measures Possibility Distributions as Fuzzy Sets Possibility Distributions Derived from Empirical Intervals Deriving Possibility Distributions from Overlapping Intervals Redistributing Weight from Nonconsonant to Consonant Intervals Comparison of Possibility Theory and Probability Theory Summary References Problems Index EULA Explore the diverse electrical engineering application of polymer composite materials with this in-depth collection edited by leaders in the field Polymer Composites for Electrical Engineering delivers a comprehensive exploration of the fundamental principles, state-of-the-art research, and future challenges of polymer composites. Written from the perspective of electrical engineering applications, like electrical and thermal energy storage, high temperature applications, fire retardance, power cables, electric stress control, and others, the book covers all major application branches of these widely used materials. Rather than focus on polymer composite materials themselves, the distinguished editors have chosen to collect contributions from industry leaders in the area of real and practical electrical engineering applications of polymer composites. The book�s relevance will only increase as advanced polymer composites receive more attention and interest in the area of advanced electronic devices and electric power equipment. Unique amongst its peers, Polymer Composites for Electrical Engineering offers readers a collection of practical and insightful materials that will be of great interest to both academic and industrial audiences. Those resources include: A comprehensive discussion of glass fiber reinforced polymer composites for power equipment, including GIS, bushing, transformers, and more) Explorations of polymer composites for capacitors, outdoor insulation, electric stress control, power cable insulation, electrical and thermal energy storage, and high temperature applications A treatment of semi-conductive polymer composites for power cables In-depth analysis of fire-retardant polymer composites for electrical engineering An examination of polymer composite conductors Perfect for postgraduate students and researchers working in the fields of electrical, electronic, and polymer engineering, Polymer Composites for Electrical Engineering will also earn a place in the libraries of those working in the areas of composite materials, energy science and technology, and nanotechnology.

Fuzzy Logic with Engineering Applications, Fourth Edition

Timothy J. Ross, University of New Mexico, USA

The latest update on this popular textbook

The importance of concepts and methods based on fuzzy logic and fuzzy set theory has been rapidly growing since the early 1990s and all the indications are that this trend will continue in the foreseeable future. Fuzzy Logic with Engineering Applications, Fourth Edition is a new edition of the popular textbook with 15% of new and updated material. Updates have been made to most of the chapters and each chapter now includes new end-of-chapter problems.

Key features:

• New edition of the popular textbook with 15% of new and updated material.
• Includes new examples and end-of-chapter problems.
• Has been made more concise with the removal of out of date material.
• Covers applications of fuzzy logic to engineering and science.
• Accompanied by a website hosting a solutions manual and software.

The book is essential reading for graduates and senior undergraduate students in civil, chemical, mechanical and electrical engineering as wells as researchers and practitioners working with fuzzy logic in industry.

Considers potential applications and use cases, business opportunities that can arise, and how standardization activities are shaped Covers the technical findings of the two-year EC H2020 5G PPP 5GCAR project, a comprehensive collaborative research initiative between telecommunications and automotive industries, as well as academic researchers 5G C-V2X technology is expected to be fully standardized in 3GPP Release 16 by March 2020, which has the potential to shape the 5 -year and beyond roadmap on the path towards fully automated vehicles Use cases, business models and the technology roadmap provide the necessary background for those who are seeking to shape a start-up in the domain of automated and autonomous driving Expert editor and contributor team from a mix of both industry and academia, including Ericsson, Huawei, Nokia, Orange, and Bosch Accompanying online tutorial slides for teaching and seminars With numerous examples and end-of-chapter problems, this book is essential reading for graduates and senior undergraduate students in civil, chemical, mechanical and electrical engineering as wells as researchers and practitioners working with fuzzy logic in industry. -- Edited summary from book