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Explainable AI and Other Applications of Fuzzy Techniques

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Cover of 'Explainable AI and Other Applications of Fuzzy Techniques'

Table of Contents

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    Book Overview
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    Chapter 1 A Fuzzy Logic Approach for Spacecraft Landing Site Selection
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    Chapter 2 Takagi-Sugeno Fuzzy Systems with Triangular Membership Functions as Interpretable Neural Networks
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    Chapter 3 A Study on Constrained Interval Arithmetic
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    Chapter 4 Fuzzy Classification of Multi-intent Utterances
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    Chapter 5 How Much for a Set: General Case of Decision Making Under Set-Valued Uncertainty
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    Chapter 6 A Deep Fuzzy Semi-supervised Approach to Clustering and Fault Diagnosis of Partially Labeled Semiconductor Manufacturing Data
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    Chapter 7 Why Fuzzy Techniques in Explainable AI? Which Fuzzy Techniques in Explainable AI?
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    Chapter 8 Why Are Fuzzy and Stochastic Calculus Different?
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    Chapter 9 A Genetic Fuzzy Approach for the Prediction of Heart Failure
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    Chapter 10 COVID-19 Vaccination Priority Evaluation
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    Chapter 11 Comparing the Explainability and Performance of Reinforcement Learning and Genetic Fuzzy Systems for Safe Satellite Docking
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    Chapter 12 A Note on the KM Algorithm for Computing the Variance of an Interval Type-2 Fuzzy Set
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    Chapter 13 Estimating Fuzzy Possibility Functions for E-Commerce Decision Support
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    Chapter 14 Machine Learning to Augment the Fusion Process for Data Classification
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    Chapter 15 Managing Uncertainty in Crowdsourcing with Interval-Valued Labels
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    Chapter 16 Modeling Fuzzy Cluster Transitions for Topic Tracing
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    Chapter 17 A Natural Formalization of Changing-One’s-Mind Leads to Square Root of “Not” and to Complex-Valued Fuzzy Logic
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    Chapter 18 Each Realistic Continuous Functional Dependence Implies a Relation Between Some Variables: A Theoretical Explanation of a Fuzzy-Related Empirical Phenomenon
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    Chapter 19 Uniform Mixture Convergence of Continuously Transformed Fuzzy Systems
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    Chapter 20 Solutions of Systems of Linear Fuzzy Differential Equations for a Special Class of Fuzzy Processes
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    Chapter 21 Abstractive Representation Modeling for Image Classification
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    Chapter 22 A-Cross Product for Autocorrelated Fuzzy Processes: The Hutchinson Equation
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    Chapter 23 Use of T-Norm in an Epidemiological Model for COVID-19
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    Chapter 24 Fuzzy-Flatness Hybrid Fault-Tolerant Control
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    Chapter 25 Finding Fuzziness in Neural Network Models of Language Processing
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    Chapter 26 Interval Arithmetic: WSM, CI or RDM?
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    Chapter 27 Breast Cancer Wisconsin (Diagnostic) Data Analysis Using GFS-TSK
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    Chapter 28 A New GA-PSO Optimization Methodology with Fuzzy Adaptive Inertial Weight
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    Chapter 29 Predicting Diabetes Diagnosis with Binary-To-Fuzzy Extrapolations and Weights Tuned via Genetic Algorithm
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    Chapter 30 Genetic Fuzzy Hand Gesture Classifier
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    Chapter 31 Toward Explainable AI—Genetic Fuzzy Systems—A Use Case
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    Chapter 32 Uncertainty to Avoid Entrapment: Comparing Internet Stings to Real Victim Conversations
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    Chapter 33 FLTRL: A Fuzzy-Logic Transfer Learning Powered Reinforcement Learning Method for Intelligent Online Control in Power Systems
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    Chapter 34 Genetic Fuzzy Methodology to Predict Time to Return to Play from Sports-Related Concussion
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    Chapter 35 Fuzzy Information Processing Computing Curricula: A Perspective from the First Two-Years in Computing Education
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    Chapter 36 What Teachers Can Learn from Machine Learning
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    Chapter 37 Self-tuned Model-Based Predictive Control Using Evolving Fuzzy Model of a Non-linear Dynamic Process
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    Chapter 38 A Method to Optimize and Automate the Distribution of Radiology Studies
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    Chapter 39 Fuzzy Baselines to Stabilize Policy Gradient Reinforcement Learning
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    Chapter 40 Fuzzy Tunes
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    Chapter 41 Mexican Folk Arithmetic Algorithm Makes Perfect Sense
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    Chapter 42 Fuzzy-Based, Noise-Resilient, Explainable Algorithm for Regression
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    Chapter 43 Evaluation Criteria for Noise Resilience in Regression Algorithms
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    Chapter 44 Numerical Solution for Fuzzy Partial Differential Equations with Interactive Fuzzy Boundary Conditions
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    Chapter 45 Fuzzy Logic Leads to a More Adequate Way of Processing Likert-Scale Values: Case Study of Burnout
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Title
Explainable AI and Other Applications of Fuzzy Techniques
Published by
Springer International Publishing, September 2021
DOI 10.1007/978-3-030-82099-2
ISBNs
978-3-03-082098-5, 978-3-03-082099-2
Editors

Rayz, Julia, Raskin, Victor, Dick, Scott, Kreinovich, Vladik

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