did-you-know? rent-now

Amazon no longer offers textbook rentals. We do!

did-you-know? rent-now

Amazon no longer offers textbook rentals. We do!

We're the #1 textbook rental company. Let us show you why.

9781119235866

Fuzzy Logic with Engineering Applications

by
  • ISBN13:

    9781119235866

  • ISBN10:

    1119235863

  • Edition: 4th
  • Format: Paperback
  • Copyright: 2016-10-31
  • Publisher: Wiley

Note: Supplemental materials are not guaranteed with Rental or Used book purchases.

Purchase Benefits

  • Free Shipping Icon Free Shipping On Orders Over $35!
    Your order must be $35 or more to qualify for free economy shipping. Bulk sales, PO's, Marketplace items, eBooks and apparel do not qualify for this offer.
  • eCampus.com Logo Get Rewarded for Ordering Your Textbooks! Enroll Now
List Price: $105.54 Save up to $35.35
  • Rent Book $70.19
    Add to Cart Free Shipping Icon Free Shipping

    TERM
    PRICE
    DUE
    USUALLY SHIPS IN 3-4 BUSINESS DAYS
    *This item is part of an exclusive publisher rental program and requires an additional convenience fee. This fee will be reflected in the shopping cart.

Supplemental Materials

What is included with this book?

Summary

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 books 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.

  • Author Biography

    Timothy J. Ross, University of New Mexico, USA
    Dr. Ross is a professor within the Department of Civil Engineering at the University of New Mexico where he teaches courses in structural analysis, structural dynamics and fuzzy logic. He is a registered professional engineer with over 30 years’ experience in the fields of computational mechanics, hazard survivability, structural dynamics, structural safety, stochastic processes, risk assessment, and fuzzy systems. He is also the founding Editor-in-Chief of the International Journal, Intelligent and Fuzzy Systems.

    Table of Contents

    About the Author xi

    Preface to the Fourth Edition xiii

    1 Introduction 1

    The Case for Imprecision 2

    A Historical Perspective 4

    The Utility of Fuzzy Systems 7

    Limitations of Fuzzy Systems 9

    The Illusion: Ignoring Uncertainty and Accuracy 11

    Uncertainty and Information 13

    Fuzzy Sets and Membership 14

    Chance versus Fuzziness 17

    Intuition of Uncertainty: Fuzzy versus Probability 19

    Sets as Points in Hypercubes 21

    Summary 23

    References 23

    Problems 24

    2 Classical Sets and Fuzzy Sets 27

    Classical Sets 28

    Fuzzy Sets 36

    Summary 45

    References 46

    Problems 46

    3 Classical Relations and Fuzzy Relations 51

    Cartesian Product 52

    Crisp Relations 53

    Fuzzy Relations 58

    Tolerance and Equivalence Relations 67

    Fuzzy Tolerance and Equivalence Relations 70

    Value Assignments 72

    Other Forms of the Composition Operation 76

    Summary 77

    References 77

    Problems 77

    4 Properties of Membership Functions, Fuzzification, and Defuzzification 84

    Features of the Membership Function 85

    Various Forms 87

    Fuzzification 88

    Defuzzification to Crisp Sets 90

    λ-Cuts for Fuzzy Relations 92

    Defuzzification to Scalars 93

    Summary 102

    References 103

    Problems 104

    5 Logic and Fuzzy Systems 107

    Part I: Logic 107

    Classical Logic 108

    Fuzzy Logic 122

    Part II: Fuzzy Systems 132

    Summary 151

    References 153

    Problems 154

    6 Historical Methods of Developing Membership Functions 163

    Membership Value Assignments 164

    Intuition 164

    Inference 165

    Rank Ordering 167

    Neural Networks 168

    Genetic Algorithms 179

    Inductive Reasoning 188

    Summary 195

    References 196

    Problems 197

    7 Automated Methods for Fuzzy Systems 201

    Definitions 202

    Batch Least Squares Algorithm 205

    Recursive Least Squares Algorithm 210

    Gradient Method 213

    Clustering Method 218

    Learning from Examples 221

    Modified Learning from Examples 224

    Summary 233

    References 235

    Problems 235

    8 Fuzzy Systems Simulation 237

    Fuzzy Relational Equations 242

    Nonlinear Simulation Using Fuzzy Systems 243

    Fuzzy Associative Memories (FAMs) 246

    Summary 257

    References 258

    Problems 259

    9 Decision Making with Fuzzy Information 265

    Fuzzy Synthetic Evaluation 267

    Fuzzy Ordering 269

    Nontransitive Ranking 272

    Preference and Consensus 275

    Multiobjective Decision Making 279

    Fuzzy Bayesian Decision Method 285

    Decision Making under Fuzzy States and Fuzzy Actions 295

    Summary 309

    References 310

    Problems 311

    10 Fuzzy Classification and Pattern Recognition 323

    Fuzzy Classification 324

    Classification by Equivalence Relations 324

    Cluster Analysis 332

    Cluster Validity 332

    c-Means Clustering 333

    Hard c-Means (HCM) 333

    Fuzzy c-Means (FCM) 343

    Classification Metric 351

    Hardening the Fuzzy c-Partition 354

    Similarity Relations from Clustering 356

    Fuzzy Pattern Recognition 357

    Single-Sample Identification 357

    Multifeature Pattern Recognition 365

    Summary 378

    References 379

    Problems 380

    11 Fuzzy Control Systems 388

    Control System Design Problem 390

    Examples of Fuzzy Control System Design 393

    Fuzzy Engineering Process Control 404

    Fuzzy Statistical Process Control 417

    Industrial Applications 431

    Summary 434

    References 437

    Problems 438

    12 Applications of Fuzzy Systems Using Miscellaneous Models 455

    Fuzzy Optimization 455

    Fuzzy Cognitive Mapping 462

    Agent-Based Models 477

    Fuzzy Arithmetic and the Extension Principle 481

    Fuzzy Algebra 487

    Data Fusion 491

    Summary 498

    References 498

    Problems 500

    13 Monotone Measures: Belief, Plausibility, Probability, and Possibility 505

    Monotone Measures 506

    Belief and Plausibility 507

    Evidence Theory 512

    Probability Measures 515

    Possibility and Necessity Measures 517

    Possibility Distributions as Fuzzy Sets 525

    Possibility Distributions Derived from Empirical Intervals 528

    Summary 548

    References 549

    Problems 550

    Index 554

    Supplemental Materials

    What is included with this book?

    The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.

    The Used, Rental and eBook copies of this book are not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.

    Rewards Program