MATLAB Fuzzy Logic Toolbox™ User's Guide

Getting Started
	Fuzzy Logic Toolbox Product Description
		Key Features
	What Is Fuzzy Logic?
		Description of Fuzzy Logic
		Why Use Fuzzy Logic?
		When Not to Use Fuzzy Logic
		What Can Fuzzy Logic Toolbox Software Do?
	Foundations of Fuzzy Logic
		Overview
		Fuzzy Sets
		Membership Functions
		Logical Operations
		If-Then Rules
		References
	Fuzzy Inference Process
		Fuzzify Inputs
		Apply Fuzzy Operator
		Apply Implication Method
		Aggregate All Outputs
		Defuzzify
		Fuzzy Inference Diagram
	Membership Function Gallery
	Defuzzification Methods
	Fuzzy vs. Nonfuzzy Logic
Fuzzy Inference System Modeling
	Mamdani and Sugeno Fuzzy Inference Systems
		Mamdani Fuzzy Inference Systems
		Sugeno Fuzzy Inference Systems
	Type-2 Fuzzy Inference Systems
		Interval Type-2 Membership Functions
		Type-2 Fuzzy Inference Systems
		Fuzzy Inference Process for Type-2 Fuzzy Systems
		Type-Reduction Methods
	Build Fuzzy Systems Using Fuzzy Logic Designer
		Fuzzy Logic Toolbox Graphical User Interface Tools
		The Basic Tipping Problem
		The Fuzzy Logic Designer
		The Membership Function Editor
		The Rule Editor
		The Rule Viewer
		The Surface Viewer
		Importing and Exporting Fuzzy Inference Systems
	Build Fuzzy Systems at the Command Line
	Build Fuzzy Systems Using Custom Functions
		Build Fuzzy Inference Systems Using Custom Functions in Fuzzy Logic Designer
		Specify Custom Membership Functions
		Specify Custom Inference Functions
		Specify Custom Type-Reduction Functions
		Use Custom Functions in Code Generation
	Fuzzy Trees
		Types of Hierarchical Structures
		Add or Remove FIS Tree Outputs
		Use the Same Value for Multiple inputs of FIS Tree
		Update Fuzzy Inference Systems in FIS Tree
		Tune a Fuzzy Tree
	Fuzzy PID Control with Type-2 FIS
	Fuzzy Logic Image Processing
Fuzzy Inference System Tuning
	Tuning Fuzzy Inference Systems
		Tuning Methods
		Prevent Overfitting of Tuned System
		Improve Tuning Results
	Tune Fuzzy Rules and Membership Function Parameters
	Tune Fuzzy Trees
	Customize FIS Tuning Process
	Tune Mamdani Fuzzy Inference System
	Tune FIS Tree for Gas Mileage Prediction
	FIS Parameter Optimization with K-fold Cross Validation
	Predict Chaotic Time Series Using Type-2 FIS
	Tune Fuzzy Robot Obstacle Avoidance System Using Custom Cost Function
	Classify Pixels Using Fuzzy Systems
	Autonomous Parking Using Fuzzy Inference System
	Neuro-Adaptive Learning and ANFIS
		FIS Structure
		Training Data
		Training Options
		Display Options
		Training Validation
		Training Results
		Training Algorithm Differences
	Train Adaptive Neuro-Fuzzy Inference Systems
		Load Training Data
		Generate or Load FIS Structure
		Train FIS
		Validate Trained FIS
		Importance of Checking Data
	Save Training Error Data to MATLAB Workspace
	Predict Chaotic Time-Series using ANFIS
	Modeling Inverse Kinematics in a Robotic Arm
	Adaptive Noise Cancellation Using ANFIS
	Nonlinear System Identification
	Gas Mileage Prediction
Data Clustering
	Fuzzy Clustering
		What Is Data Clustering?
		Fuzzy C-Means Clustering
		Subtractive Clustering
		References
	Cluster Quasi-Random Data Using Fuzzy C-Means Clustering
	Adjust Fuzzy Overlap in Fuzzy C-Means Clustering
	Fuzzy C-Means Clustering
	Fuzzy C-Means Clustering for Iris Data
	Model Suburban Commuting Using Subtractive Clustering
	Modeling Traffic Patterns using Subtractive Clustering
	Data Clustering Using Clustering Tool
		Load and Plot Data
		Cluster Data
		Save Cluster Centers
Fuzzy Logic in Simulink
	Simulate Fuzzy Inference Systems in Simulink
		Simulate Fuzzy Inference System
		Access Intermediate Fuzzy Inference Results
		Simulation Modes
		Map Command-Line Functionality to Fuzzy Logic Controller Block
	Water Level Control in a Tank
	Temperature Control in a Shower
	Implement Fuzzy PID Controller in Simulink Using Lookup Table
Deployment
	Deploy Fuzzy Inference Systems
		Generate Code in Simulink
		Generate Code in MATLAB
	Generate Code for Fuzzy System Using Simulink Coder
	Generate Structured Text for Fuzzy System Using Simulink PLC Coder
	Generate Code for Fuzzy System Using MATLAB Coder
Apps
	Fuzzy Logic Designer
	Neuro-Fuzzy Designer
Functions
	addInput
	addMF
	addOutput
	addRule
	addvar
	anfis
	anfisOptions
	convertfis
	convertToStruct
	convertToSugeno
	convertToType1
	convertToType2
	defuzz
	dsigmf
	evalfis
	evalmf
	fcm
	findcluster
	fuzarith
	gauss2mf
	gaussmf
	gbellmf
	genfis
	genfis1
	genfis2
	genfis3
	genfisOptions
	gensurf
	gensurfOptions
	getfis
	getTunableValues
	getFISCodeGenerationData
	getTunableSettings
	mam2sug
	mf2mf
	mfedit
	newfis
	parsrule
	pimf
	plotfis
	plotmf
	probor
	psigmf
	readfis
	removeInput
	removeMF
	removeOutput
	rmmf
	rmvar
	ruleedit
	ruleview
	setfis
	setTunable
	setTunableValues
	showfis
	showrule
	sigmf
	smf
	subclust
	surfview
	trapmf
	trimf
	tunefis
	update
	writeFIS
	zmf
Objects
	ClauseParameters
	evalfisOptions
	fismf
	fismftype2
	fisrule
	fistree
	fisvar
	mamfis
	mamfistype2
	MembershipFunctionSettings
	MembershipFunctionSettingsType2
	NumericParameters
	RuleSettings
	sugfis
	sugfistype2
	tunefisOptions
	VariableSettings
Blocks
	Diff. Sigmoidal MF
	Fuzzy Logic Controller
	Fuzzy Logic Controller with Ruleviewer
	Gaussian MF
	Gaussian2 MF
	Generalized Bell MF
	Pi-shaped MF
	Probabilistic OR
	Probabilistic Rule Agg
	Prod. Sigmoidal MF
	S-shaped MF
	Sigmoidal MF
	Trapezoidal MF
	Triangular MF
	Z-shaped MF
Appendices
	Bibliography