Table of contents for Fuzzy logic with engineering applications / Timothy J. Ross.

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Table of Contents-Fuzzy Logic with Engineering Applications, T. Ross
Chapter 1 - Introduction (65% new)
	-Ambiguity vs. Chance
	-The Great Debate: Probability and Fuzzy
	-Membership vs. likelihood
	-Sets as Points
Chapter 2 -Set Theory (15% new)
	-Classical set operations
	-Fuzzy set operations
	-t-norms and t-conorms, and negations
Chapter 3 -Relations (10% new)
	-Classical relations
	-Fuzzy relations
	-Assignment methods
Chapter 4 - Fuzzification and Defuzzification Methods (25% new)
	-Lambda cuts
	-Reduction to scalars
Chapter 5 -Logic and Fuzzy Systems (35% new)
	-Classical Propositional Logic
	-Fuzzy Logic
	-Other logics (Klir)
	-Rules (also material from old Chap. 8)
	-Inference methods (Mamdani, TSK, Tsukamoto)
Chapter 6 - Membership Function Development (5% new)
	-Deductive Inference
	-Rank ordering
	-Generation methods
		+Neural networks
		+Genetic Algorithms
		+Induction Reasoning
Chapter 7 - Automated Methods for Generating Rules and Membership Functions 
(100% new)
	-Input/Output data
	-Automated methods (MATLAB-based)
		-Learning from examples (Wang, Mendell paper)
		-Modified learning from examples
		-Least squares (batch and recursive)
		-Gradient descent
		-ANFIS (get paper from files)
	-MATLAB Software
Chapter 8 - Fuzzy Systems Simulation (50% new)
	-Nonlinear systems (from old text and new problems-take out ext. princ)
	-Complex systems (from students case studies)
Chapter 9 - Rule-base Reduction (100% new)
	-SVD method
	-Combs method
	-Review of 3 previous methods
Chapter 10 - Decision Making (0% new)
	-Ordering and Ranking (MIN and MAX)
	-Preference and Consensus
	-Multi-objective Decision Making
	-Fuzzy Bayesian Decision Making (shortened section)
Chapter 11 - Classification and Pattern Recognition (10% new)
	-Equivalence methods
	-Hard c-means
	-Fuzzy c-means
	-Classification metrics
	-Approaching Degree (fuzzy vectors)
	-Image Processing
	-Syntactic Recognition
Chapter 12 - Fuzzy Arithmetic (0% new)
	-Extension principle
	-Interval based methods
	-Vertex method
	-DSW method
Chapter 13 - Fuzzy Control (40% new)
	-Process Control
	-Feedback Control
	-Case Studies in Control
Chapter 14 - Miscellaneous Fuzzy Applications (25% new)
	-Cognitive Maps
	-Statistical Process Control
	-Linear Regression
	-System identification
Chapter 15 - Alternative Methods: Generalized Information Theories (30% new)
	-Montone measures
	-Evidence theory
	-Possibility theory (take much out)
		Empirical distributions (Sunil's work)
		Examples (Sunil's work)
	-Probability theory
	-Uncertainty metrics (just summarize these)
-Answers to selected exercise problems (100% new)
-Axiomatic differences between fuzzy set theory and probability theory
 (0% new)

Library of Congress Subject Headings for this publication: Engineering mathematics, Fuzzy logic