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Fuzzy Logic and Technology, and Aggregation Operators

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Cover of 'Fuzzy Logic and Technology, and Aggregation Operators'

Table of Contents

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    Book Overview
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    Chapter 1 The Inevitability of Vagueness in Fuzzy Logic
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    Chapter 2 A Fuzzy Cognitive Map Learning Approach for Coronary Artery Disease Diagnosis in Nuclear Medicine
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    Chapter 3 Discussing Uninorms on Bounded Lattices Using Closure and Interior Operators
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    Chapter 4 Norms and Discrete Choquet Integrals Induced by Submodular Fuzzy Measures: A Discussion
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    Chapter 5 Some Existence Results for Fuzzy Differential Equations with a Metric-Basic Derivative of Type ( ii )
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    Chapter 6 Elements of Relational Power Set Theories for Semiring-Valued Fuzzy Structures
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    Chapter 7 Partial Fuzzy Relational Equations and the Dragonfly Operations – What Happens If...?
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    Chapter 8 Conceptuality Degree of Oriented Crisply Generated Fuzzy Preconcepts
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    Chapter 9 IFS-IBA Logical Aggregation with Frank t-norms
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    Chapter 10 Fuzzy Equivalence Relations for Solving a Multiple Objective Linear Programming Problem
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    Chapter 11 Applied Large-Scale Group Decision Making Using Systemic Consensus and Fuzzy Method of Comparative Linguistic Expressions
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    Chapter 12 Machine Learning and Fuzzy Measures: A Real Approach to Individual Classification
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    Chapter 13 Exploring the Automatic Selection of Aggregation Methods in Group Recommendation
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    Chapter 14 Splitting Rules for Monotone Fuzzy Decision Trees
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    Chapter 15 Root Cause Analysis with Fuzzy Cognitive Maps and Correlation Coefficient
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    Chapter 16 A Multi-criteria Group Decision-Making Method in Changeable Scenarios Based on Self-adjustment of Weights Using Reciprocal Preference Relations
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    Chapter 17 Towards Imprecise Scores in Multi-criteria Decision Making with Ranked Weights
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    Chapter 18 A Multitask Deep Learning Approach for Staples and Wound Segmentation in Abdominal Post-surgical Images
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    Chapter 19 FIDOC: A New Combination of Fuzzy Impulse Noise Detection and Open-Close Filtering
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    Chapter 20 Fuzzy Fingerprinting Large Pre-trained Models
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    Chapter 21 Aggregation Using Penalty and Moderate Deviation Functions
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    Chapter 22 An Interval-Valued Multi-attribute Decision Making Based on Combined QUALIFLEX-EAST Methodology
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    Chapter 23 On an Edge Detector Based on Ordinal Sums of Conjunctive and Disjunctive Aggregation Functions
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    Chapter 24 Why Fractional Fuzzy
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    Chapter 25 Interval-Valued and Set-Valued Extensions of Discrete Fuzzy Logics, Belnap Logic, and Color Optical Computing
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    Chapter 26 Measuring the Distance Between Machine Learning Models Using F-Space
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    Chapter 27 On the Relationship Between Multidistances and  n -Distances Revisited
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    Chapter 28 Fuzzy Integrals for Edge Detection
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    Chapter 29 Transformation Techniques for Interval-Valued Intuitionistic Fuzzy Sets: Applications to Aggregation and Decision Making
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    Chapter 30 Verifying Validity of Selected Forms of Syllogisms with Intermediate Quantifiers Using Peterson’s Rules
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    Chapter 31 From Graded Aristotle’s Hexagon to Graded Peterson’s Hexagon of Opposition in Fuzzy Natural Logic
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    Chapter 32 Analysis of the Number of Valid Peterson’s Syllogisms
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    Chapter 33 Logical Relations Between T-Scaling Quantifiers and Their Implications in Fuzzy Relational Concept Analysis
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    Chapter 34 An Analysis of FRCA Quantifiers
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    Chapter 35 Arbitrariness of Outward Closeness in Laplacian Dimensionality Reduction
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    Chapter 36 Fuzzy Logic Function as a Post-hoc Explanator of the Nonlinear Classifier
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    Chapter 37 A Bayesian Interpretation of Fuzzy C-Means
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    Chapter 38 The Role of Speculations for Explainable and Trustworthy Artificial Intelligence: A Use Case on Art Genre Classification
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    Chapter 39 Fuzzy Sets: A Key Towards Hybrid Explainable Artificial Intelligence for Image Understanding
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    Chapter 40 Contextual Boosting to Explainable SVM Classification
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    Chapter 41 Ideals in the Two-Sorted Variety of Equational States
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    Chapter 42 Maximal Theories of Product Logic
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    Chapter 43 Free Product Hoops
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    Chapter 44 A Logic to Reason About f -Indices of Inclusion over Ł $$_n$$ n
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    Chapter 45 Reduction Graph for Minimal Determinization of Fuzzy Automata
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    Chapter 46 Finite Nerode Construction for Fuzzy Automata over the Product Algebra
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    Chapter 47 Towards New Types of Weak Bisimulations for Fuzzy Automata Using the Product T-Norm
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    Chapter 48 On Relationships Between Approximate Bisimulations for Fuzzy Graphs and Their Approximation Degrees
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    Chapter 49 An Information Extraction Study: Take in Mind the Tokenization!
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    Chapter 50 Early Parkinson’s Disease Detection from EEG Traces Using Machine Learning Techniques
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    Chapter 51 Cognitive Assistant for Physical Exercise Monitoring in Hand Rehabilitation
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    Chapter 52 Interpretable Neuro-Fuzzy Models for Stress Prediction
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    Chapter 53 Explainable Deep Ensemble to Diagnose COVID-19 from CT Scans
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    Chapter 54 A Study of Monometrics from Fuzzy Logic Connectives
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    Chapter 55 Monometrics on Lattice Betweenness Using Fuzzy Implications
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    Chapter 56 Fuzzy Implications Using Bandler-Kohout Subproduct
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    Chapter 57 The Form of Fuzzy Implication Functions Satisfying a Multiplicative Sincov’s Equation
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    Chapter 58 Improved DE-MC Algorithm with Automated Outliers Detection
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    Chapter 59 A Specialized Xie-Beni Measure for Clustering with Adaptive Distance
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    Chapter 60 Classification Error in Semi-Supervised Fuzzy C-Means
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    Chapter 61 A New Two-Sample Location Test for Fuzzy Data
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Title
Fuzzy Logic and Technology, and Aggregation Operators
Published by
Springer Nature Switzerland, September 2023
DOI 10.1007/978-3-031-39965-7
ISBNs
978-3-03-139964-0, 978-3-03-139965-7
Editors

Massanet, Sebastia, Montes, Susana, Ruiz-Aguilera, Daniel, González-Hidalgo, Manuel

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