Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations
-15%
portes grátis
Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations
17th International Conference, IPMU 2018, Cadiz, Spain, June 11-15, 2018, Proceedings, Part I
Yager, Ronald R.; Verdegay, Jose Luis; Bouchon-Meunier, Bernadette; Ojeda-Aciego, Manuel; Medina, Jesus; Pelta, David A.; Cabrera, Inma P.
Springer International Publishing AG
05/2018
806
Mole
Inglês
9783319914725
15 a 20 dias
Descrição não disponível.
Advances on Explainable Artificial Intelligence.- Aggregation Operators, Fuzzy Metrics and Applications.- Belief Function Theory and its Applications.- Current Techniques to Model, Process and Describe Time Series.- Discrete Models and Computational Intelligence.- Formal Concept Analysis and Uncertainty.- Fuzzy Implication Functions.- Fuzzy Logic and Artificial Intelligence Problems.- Fuzzy Mathematical Analysis and Applications.- Fuzzy Methods in Data Mining and Knowledge Discovery.- Fuzzy Transforms: Theory and Applications to Data Analysis and Image Processing.- Imprecise Probabilities: Foundations and Applications.- Mathematical Fuzzy Logic, Mathematical Morphology.- Measures of Comparison and Entropies for Fuzzy Sets and Their Extensions.- New Trends in Data Aggregation.- Pre-aggregation Functions and Generalized Forms of Monotonicity.- Rough and Fuzzy Similarity Modelling Tools.- Soft Computing for Decision Making in Uncertainty.- Soft Computing in Information Retrievaland Sentiment Analysis.- Tri-partitions and Uncertainty.- Decision Making Modeling and Applications.- Logical Methods in Mining Knowledge from Big Data.- Metaheuristics and Machine Learning.- Optimization Models for Modern Analytics.- Uncertainty in Medicine.- Uncertainty in Video/Image Processing (UVIP).- General Track.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
algorithms;artificial intelligence;data mining;evolutionary algorithms;Formal Concept Analysis (FCA);fuzzy logic;fuzzy sets;fuzzy systems;genetic algorithms;knowledge based systems;machine learning;natural computing;problem solving;rough sets;semantics;social networking;Support Vector Machines (SVM);uncertainty;algorithm analysis and problem complexity
Advances on Explainable Artificial Intelligence.- Aggregation Operators, Fuzzy Metrics and Applications.- Belief Function Theory and its Applications.- Current Techniques to Model, Process and Describe Time Series.- Discrete Models and Computational Intelligence.- Formal Concept Analysis and Uncertainty.- Fuzzy Implication Functions.- Fuzzy Logic and Artificial Intelligence Problems.- Fuzzy Mathematical Analysis and Applications.- Fuzzy Methods in Data Mining and Knowledge Discovery.- Fuzzy Transforms: Theory and Applications to Data Analysis and Image Processing.- Imprecise Probabilities: Foundations and Applications.- Mathematical Fuzzy Logic, Mathematical Morphology.- Measures of Comparison and Entropies for Fuzzy Sets and Their Extensions.- New Trends in Data Aggregation.- Pre-aggregation Functions and Generalized Forms of Monotonicity.- Rough and Fuzzy Similarity Modelling Tools.- Soft Computing for Decision Making in Uncertainty.- Soft Computing in Information Retrievaland Sentiment Analysis.- Tri-partitions and Uncertainty.- Decision Making Modeling and Applications.- Logical Methods in Mining Knowledge from Big Data.- Metaheuristics and Machine Learning.- Optimization Models for Modern Analytics.- Uncertainty in Medicine.- Uncertainty in Video/Image Processing (UVIP).- General Track.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
algorithms;artificial intelligence;data mining;evolutionary algorithms;Formal Concept Analysis (FCA);fuzzy logic;fuzzy sets;fuzzy systems;genetic algorithms;knowledge based systems;machine learning;natural computing;problem solving;rough sets;semantics;social networking;Support Vector Machines (SVM);uncertainty;algorithm analysis and problem complexity
