Fuzzy logic with engineering applications

Fuzzy logic with engineering applications

Bibliographic Details
Other Authors: Ross, Timothy J., author (author)
Format: eBook
Language:Inglés
Published: Chichester, West Sussex, England : Wiley 2017.
Edition:Fourth edition
Subjects:
Engineering > Statistical methods.
Fuzzy logic.
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009849087906719
Table of Contents:
  • Intro
  • 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.

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