Modeling Decisions for Artificial Intelligence

Invited Paper.- Graded logic aggregation.- 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.- 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.