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Combining Experimentation and Theory

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Table of Contents

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    Book Overview
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    Chapter 1 Correspondence between an Experimentalist and a Theoretician
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    Chapter 2 Days Spent with Professor Ebrahim H. Mamdani
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    Chapter 3 Soft Computing as a Tool, Six Years Later
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    Chapter 4 Abe Mamdani: A Pioneer of Soft Artificial Intelligence
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    Chapter 5 An Essay on the Interpretability of Mamdani Systems
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    Chapter 6 A Historical Review of Mamdani-Type Genetic Fuzzy Systems
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    Chapter 7 Fuzzy Control for Knowledge-Based Interpolation
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    Chapter 8 Linguistic Fuzzy Rules in Data Mining: Follow-Up Mamdani Fuzzy Modeling Principle
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    Chapter 9 Fuzzy Rules in Data Mining: From Fuzzy Associations to Gradual Dependencies
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    Chapter 10 Mascot Robot System Based on Fuzzy Control Technology
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    Chapter 11 From Fuzzy Rule-Based Systems to Granular Fuzzy Rule-Based Systems: A Study in Granular Computing
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    Chapter 12 Interval Type-2 Mamdani Fuzzy Systems for Intelligent Control
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    Chapter 13 Image Processing and Pattern Recognition with Mamdani Interval Type-2 Fuzzy Inference Systems
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    Chapter 14 Bipolar Queries: Some Inspirations from Intention and Preference Modeling
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    Chapter 15 Evolving Linguistic Fuzzy Models from Data Streams
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    Chapter 16 A Quantitative View on Quasi Fuzzy Numbers
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    Chapter 17 Similarity and Implication between Fuzzy Sets
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    Chapter 18 From Leibniz’s Shinning Theorem to the Synthesis of Rules through Mamdani-Larsen Conditionals
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    Chapter 19 On the Paradoxical Success of Mamdani’s Minimum-Based Inference
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    Chapter 20 Enhancing Quality of Experience in Public Collections
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    Chapter 21 Metaphors for Linguistic Description of Data
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    Chapter 22 Using Dempster-Shafer Structures to Provide Probabilistic Outputs in Fuzzy Systems Modeling
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    Chapter 23 The Experimenter and the Theoretician – Linguistic Synthesis to Tell Machines What to Do
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    Chapter 24 Concepts, Theories, and Applications: The Role of “Experimentation” (and “Context”) for Formalizing New Ideas along Innovative Avenues
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    Chapter 25 Imperfect Causality: Combining Experimentation and Theory
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    Chapter 26 A Reflection on Fuzzy Conditionals
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    Chapter 27 Fuzzy vs. Likert Scale in Statistics
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Combining Experimentation and Theory
Published by
Springer Berlin Heidelberg, January 2012
DOI 10.1007/978-3-642-24666-1
978-3-64-224665-4, 978-3-64-224666-1

Trillas, Enric, Bonissone, Piero P., Magdalena, Luis, Kacprzyk, Janusz

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 30%
Student > Doctoral Student 2 20%
Student > Master 2 20%
Student > Bachelor 1 10%
Lecturer 1 10%
Other 1 10%
Readers by discipline Count As %
Computer Science 2 20%
Mathematics 2 20%
Business, Management and Accounting 2 20%
Agricultural and Biological Sciences 1 10%
Arts and Humanities 1 10%
Other 2 20%