Modeling Decisions for Artificial Intelligence: 15th International Conference, MDAI 2018, Mallorca, Spain, October 15–18, 2018, Proceedings: Lecture Notes in Computer Science, cartea 11144
Editat de Vicenç Torra, Yasuo Narukawa, Isabel Aguiló, Manuel González-Hidalgoen Limba Engleză Paperback – 16 sep 2018
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Specificații
ISBN-13: 9783030002015
ISBN-10: 3030002012
Pagini: 300
Ilustrații: XXV, 319 p. 149 illus., 24 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.49 kg
Ediția:1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence
Locul publicării:Cham, Switzerland
ISBN-10: 3030002012
Pagini: 300
Ilustrații: XXV, 319 p. 149 illus., 24 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.49 kg
Ediția:1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence
Locul publicării:Cham, Switzerland
Cuprins
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.