
New Trends in Aggregation Theory
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This book collects the contributions presented at AGOP 2019, the 10th International Summer School on Aggregation Operators, which took place in Olomouc (Czech Republic) in July 2019. It includes contributions on topics ranging from the theory and foundations of aggregation functions to their various applications.
Aggregation functions have numerous applications, including, but not limited to, data fusion, statistics, image processing, and decision-making. They are usually defined as those functions that are monotone with respect to each input and that satisfy various natural boundary conditions. In particular settings, these conditions might be relaxed or otherwise customized according to the user's needs. Noteworthy classes of aggregation functions include means, t-norms and t-conorms, uninorms and nullnorms, copulas and fuzzy integrals (e.g., the Choquet and Sugeno integrals). This book provides a valuable overview of recent research trends in this area.
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Content
- Intro
- Preface
- Contents
- Invited Speakers
- Qualitative Integrals and Cointegrals: A Survey
- 1 Introduction
- 2 Motivations
- 3 Qualitative Integrals and Cointegrals
- 4 Elementary Properties
- 4.1 Comparison Between q-Cointegrals and q-Integrals
- 4.2 Elementary Properties
- 4.3 Inequalities for q-Integrals
- 5 Characterization Results
- 5.1 Characterisation Results for q-Integrals
- 5.2 Characterisation Theorems for q-cointegrals
- 6 Upper and Lower Qualitative Possibility Integrals
- 7 Conclusion
- References
- The Concave and Decomposition Integrals: A Review and Future Directions
- 1 Introduction
- 2 A Motivating Example
- 3 Capacity and Decompositions of a Random Variable
- 3.1 The Concave and Choquet Integrals
- 3.2 The Decomposition-Integral
- 3.3 Pan Integral and Shilkret Integral
- 4 Properties of the Decomposition-Integral
- 5 Future Directions
- References
- Super Level Measures: Averaging Before Integrating
- References
- On Extreme Value Copulas with Given Concordance Measures
- 1 Introduction
- 2 Notation
- 3 Dependence Measures
- 4 Main Results
- 5 Special Cases
- 6 Constraints
- 7 Proofs and Auxiliary Results
- 7.1 Proof of Theorem 1
- 7.2 Proofs of Propositions 1,...,6
- 7.3 Proofs of ``constraints''
- References
- Some Remarks About Polynomial Aggregation Functions
- 1 Introduction
- 2 Preliminaries
- 3 Polynomial Binary Aggregation Functions with a Non Trivial 0 Region
- 3.1 The Case of Degree 0 or 1
- 3.2 The Case of Degree 2
- 4 Polynomial Binary Aggregation Functions with a Non Trivial 1-region
- 5 Conclusions and Future Work
- References
- Other Speakers
- Aggregation Through Composition: Unification of Three Principal Fuzzy Theories
- 1 Introduction
- 2 Preliminaries
- 3 Fuzzy Rough Sets
- 4 F-transform
- 5 Fuzzy Automata
- 5.1 Fuzzy Automaton Based on Fuzzy Transition Function
- 5.2 Fuzzy Relation-Based Fuzzy Automaton
- 6 Conclusion
- References
- Pseudo-Additions and Shift Invariant Aggregation Functions
- 1 Introduction
- 2 Shift Invariant Aggregation Functions
- 3 Pseudo-Additions and -Shift Invariant Aggregation Functions
- 4 Pseudo-Additions that Correspond to Some Fixed Aggregation Functions
- 5 Concluding Remarks
- References
- Importation Algebras
- 1 Introduction
- 2 Importation Algebra - Definition and Examples
- 2.1 Importation Algebra
- 2.2 Examples of Importation Algebra
- 2.3 Mutual Independence of the Axioms (NP), (QN) and (LI)
- 3 Order Based on Importation Algebras
- 3.1 Order on Importation Algebras
- 4 Importation Algebras When P = [0,1]
- 4.1 Importation Algebras from Fuzzy Implications
- 4.2 Importation Algebras Where I Is Not a Fuzzy Implication
- 5 Recovering the Underlying Order from an Importation Algebra
- 6 Concluding Remarks
- References
- On Some Inner Dependence Relationships in Hierarchical Structure Under Hesitant Fuzzy Environment
- 1 Introduction
- 2 Hesitant Fuzzy Set and Its Basic Operations
- 3 Hierarchy of Criteria with Partitioned Structure
- 3.1 Partial Result for Multi-layer Hierarchical Structure of Criteria in Hesitant Fuzzy Environment
- 4 Decision Making Under Hesitant Fuzzy Environment
- 4.1 Application
- 5 Conclusions and Future Work
- References
- The Relation Between F-partial Order and Distributivity Equation
- 1 Introduction
- 2 Preliminaries
- 3 Distributivity Equation
- 4 Concluding Remarks
- References
- On Properties of Internal Uninorms on Bounded Lattices
- 1 Basic Notions and Preliminaries
- 2 Internal Uninorms on Bounded Lattices
- 3 Concluding Remarks
- References
- Some Remarks on Generalized Hypothetical Syllogism and Yager's Implications
- 1 Introduction
- 2 Preliminaries
- 3 Aggregation of Fuzzy Implications
- 4 Yager's Implications Satisfying (GHS)
- 5 Conclusions
- References
- Interval-Valued EN-functions and Similarity Measures
- 1 Introduction
- 2 Preliminaries
- 3 Width-Preserving Interval Valued Restricted Equivalence Functions
- 3.1 Width-Preserving IV Aggregation Functions
- 4 Width-Based Interval Valued Similarity Measures
- 5 Conclusions
- References
- On Some Generalizations of the Choquet Integral
- 1 Introduction
- 2 Preliminaries
- 3 An Overview of Generalizations of the Choquet Integral
- 4 A New Approach to Generalization of the Choquet Integral
- 5 Concluding Remarks
- References
- Penalty-Based Data Aggregation in Real Normed Vector Spaces
- 1 Introduction
- 2 Existence and Uniqueness Results
- 3 Noteworthy Aggregation Theory Properties
- 3.1 Internalities
- 3.2 Stability of the Solution
- 4 The Limiting Case p=
- 5 Conclusions
- References
- Gravitational Clustering Algorithm Generalization by Using an Aggregation of Masses in Newton Law
- 1 Introduction
- 2 Preliminaries
- 2.1 Aggregation Functions
- 2.2 Algorithm of Gravitational Clustering
- 3 New Gravitational Clustering Algorithm
- 3.1 Description and Actuating of the Proposed Gravitational Clustering Algorithm
- 3.2 Study of Convergence. Single Particle Movement. Governing Mapping Contraction
- 4 Conclusion
- References
- Uninorms on Bounded Lattices with Given Underlying Operations
- 1 Introduction
- 2 Basic Notations and Some Known Facts and Notions
- 3 Uninorms with Given Underlying t-norm and t-conorm
- 4 Conclusions
- References
- Description and Properties of Curve-Based Monotone Functions
- 1 Introduction
- 2 Preliminaries
- 3 Curve-Based Monotonicity
- 4 Properties of Curve-Based Monotone Functions
- 5 Curve-Based Monotonicity with Respect to the Composition of Curves
- 6 Conclusion
- References
- A Construction Method for t-norms on Bounded Lattices
- 1 Introduction
- 1.1 Preliminaries
- 2 Construction of Triangular Norm
- 3 Concluding Remarks
- References
- Penalty-Based Aggregation of Strings
- 1 Introduction
- 2 The Framework of Penalty-Based Data Aggregation
- 3 Strings of the Same Length
- 3.1 The Discrete Distance Metric
- 3.2 The Hamming Distance Metric
- 3.3 The Lexicographic Distance Metric
- 3.4 The Baire Distance Metric
- 4 Strings of Different Length
- 5 Conclusions
- References
- On Some Properties of Generalized Convex Combination of Triangular Norms
- 1 Introduction
- 2 Basic Notions
- 3 Generalized Convex Combination of Triangular Norms
- 4 Concluding Remarks
- References
- Analysis of Relationship Among V4 Countries and Germany by Their Gross Domestic Products and Copula Models
- 1 Introduction
- 2 Theory
- 2.1 Copula
- 2.2 Inference
- 3 Application
- 3.1 Data Overview
- 3.2 Overall Dependence
- 3.3 Dependence Evolution
- 4 Conclusion
- References
- Aggregation via Clone Theory Approach
- 1 Introduction
- 2 Clones
- 3 Aggregation Clones and Their Generators
- References
- Mixture Functions Based on Deviation and Dissimilarity Functions
- 1 Introduction
- 2 Preliminaries
- 2.1 Mixture Functions
- 2.2 Penalty Based Function
- 2.3 Deviation and Dissimilarity Functions
- 3 Mixture Functions as Penalty Based Functions
- 3.1 Mixture Function Based on Special Dissimilarity and Deviation Functions
- 3.2 Properties of Selected Quasi-mixture Function
- 4 Conclusion
- References
- F-transform and Dimensionality Reduction: Common and Different
- 1 Introduction
- 2 Preliminaries
- 2.1 Laplacian Eigenmaps for Dimensionality Reduction
- 2.2 F-transforms
- 3 Dimensionality Reduction by the F-transform
- 3.1 Numerical Experiments
- 4 Conclusion
- References
- Note on Aggregation Functions and Concept Forming Operators
- 1 Introduction
- 2 Aggregation Functions, Residuated Mappings, Concept Lattices
- 3 General Concept Structures
- 4 Conclusion
- References
- Ordinal Sums of t-norms and t-conorms on Bounded Lattices
- 1 Preliminaries
- 2 Ordinal sum of t-norms and t-conorms
- 3 Ordinal Sums of t-representable t-norms and t-conorms
- 4 Conclusion
- References
- Aggregation of Fuzzy Conformances
- 1 Introduction
- 2 The Conformance Measures in Brief
- 3 The Aggregation of Atomic Conformances
- 3.1 Conjunctive Aggregation
- 3.2 Disjunctive Aggregation
- 3.3 The Hybrid Aggregation
- 3.4 The Ordinal Sums of Aggregated Conformances
- 3.5 Averaging Aggregation Considering Groups of Conformances
- 4 Discussion
- 5 Conclusion
- References
- Construction of Fuzzy Implication Functions Based on F-chains
- 1 Introduction
- 2 Preliminaries
- 3 F-chains Based Construction of Fuzzy Implication Functions
- 4 F-chain-based Ordinal Sums of Fuzzy Implication Functions
- 5 Conclusion
- References
- Modalities Based on Double Negation
- 1 Introduction
- 2 Basic Considerations of Negation
- 3 Modalities Induced by Two Different Negation Operators
- 4 Conclusions
- References
- Condorcet Winners on Bounded and Distributive Lattices
- 1 Introduction
- 2 Compatible Preference on a Lattice
- 3 Voting Rules
- 4 Characterization of Voting Rules
- 5 Condorcet Winners
- 6 Concluding Remarks
- References
- Author Index
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