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Fuzzy Logic Foundations and Industrial Applications

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Cover of 'Fuzzy Logic Foundations and Industrial Applications'

Table of Contents

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    Book Overview
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    Chapter 1 A Unified View of Case Based Reasoning and Fuzzy Modeling
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    Chapter 2 Open-Mindedness and Probabilities Versus Possibilities
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    Chapter 3 Fuzzy Derivatives and Fuzzy Cauchy Problems Using LP Metric
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    Chapter 4 On the Classification and the Dependencies of the Ordering Methods
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    Chapter 5 Possibility Model and its Applications
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    Chapter 6 Interactive Fuzzy Programming for Multiobjective 0–1 Programming Problems Through Genetic Algorithms with Double Strings
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    Chapter 7 The Handling of Fuzzy Objective Functions in (Multicriteria) Linear Programs
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    Chapter 8 Making Decisions on Fuzzy Integer Linear Programming Problems
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    Chapter 9 Information Diffusion Principle and Application in Fuzzy Neuron
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    Chapter 10 Some Application Examples of Fuzzy Set Theory
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    Chapter 11 Recent Successful Fuzzy Logic Applications in Industrial Automation
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    Chapter 12 FIPS—Foundations of a New Tool for Process Control Problems
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    Chapter 13 Industrial Applications of Fuzzy Logic and Neural Networks in China
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    Chapter 14 The Potential of Fuzzy Logic Applications in Industry
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    Chapter 15 Fuzzy Logic Applications in Nuclear Industry
Attention for Chapter 10: Some Application Examples of Fuzzy Set Theory
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Chapter title
Some Application Examples of Fuzzy Set Theory
Chapter number 10
Book title
Fuzzy Logic Foundations and Industrial Applications
Published by
Springer, Boston, MA, January 1996
DOI 10.1007/978-1-4613-1441-7_10
Book ISBNs
978-1-4612-8627-1, 978-1-4613-1441-7
Authors

Hans Hellendoorn, Hellendoorn, Hans

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