Modeling Decisions for Artificial Intelligence 15th International Conference MDAI 2018 Mallorca Spain October 15 18 2018 Proceedings 1st edition by Vicenç Torra 3030002020 9783030002022
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Modeling Decisions for Artificial Intelligence 15th International Conference MDAI 2018 Mallorca Spain October 15 18 2018 Proceedings 1st edition by Vicenç Torra – Ebook Instant Download/Delivery ISBN(s): 3030002020, 9783030002022
Product details:
- ISBN 10: 3030002020
- ISBN 13: 9783030002022
- Author: Vicenç
This book constitutes the proceedings of the 15th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2018, held in Mallorca, Spain, in October 2018. The 24 papers presented in this volume were carefully reviewed and selected from 43 submissions. The book also contains one invited talk in full paper length. The papers were organized in topical sections named: aggregation operators, fuzzy measures and integrals; decision making; clustering and classification; and data privacy and security.
Table of contents:
Aggregation Operators, Fuzzy Measures and Integrals
Coherent Risk Measures Derived from Utility Functions
On k–additive Aggregation Functions
Constructing an Outranking Relation with Weighted OWA for Multi-criteria Decision Analysis
Sugeno Integrals and the Commutation Problem
Characterization of k-Choquet Integrals
Event-Based Transformations of Set Functions and the Consensus Requirement
Association Analysis on Interval-Valued Fuzzy Sets
Fuzzy Hit-or-Miss Transform Using Uninorms
Learning Fuzzy Measures for Aggregation in Fuzzy Rule-Based Models
Decision Making
Extraction of Patterns to Support Dairy Culling Management
An Axiomatisation of the Banzhaf Value and Interaction Index for Multichoice Games
Fuzzy Positive Primitive Formulas
Basic Level Concepts as a Means to Better Interpretability of Boolean Matrix Factors and Their Application to Clustering
Fuzzy Type Powerset Operators and F-Transforms
Implicative Weights as Importance Quantifiers in Evaluation Criteria
Balancing Assembly Lines and Matching Demand Through Worker Reallocations
Clustering and Classification
Optimal Clustering with Twofold Memberships
Privacy Preserving Collaborative Fuzzy Co-clustering of Three-Mode Cooccurrence Data
Generalized Fuzzy c-Means Clustering and Its Theoretical Properties
A Self-tuning Possibilistic c-Means Clustering Algorithm
k-CCM: A Center-Based Algorithm for Clustering Categorical Data with Missing Values
Data Privacy and Security
WEDL-NIDS: Improving Network Intrusion Detection Using Word Embedding-Based Deep Learning Method
Anonymization of Unstructured Data via Named-Entity Recognition
On the Application of SDC Stream Methods to Card Payments Analytics
Correction to: Modeling Decisions for Artificial Intelligence
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