E-Book, Englisch, Band 955, 238 Seiten, eBook
Cornejo / Kóczy / Medina-Moreno Computational Intelligence and Mathematics for Tackling Complex Problems 2
Erscheinungsjahr 2022
ISBN: 978-3-030-88817-6
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
E-Book, Englisch, Band 955, 238 Seiten, eBook
Reihe: Studies in Computational Intelligence
ISBN: 978-3-030-88817-6
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
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Research
Autoren/Hrsg.
Weitere Infos & Material
A New Exploitation Scheme in the Context of Bipolar Classifiers.- Dynamic Maximal Covering Location Problem with Facility Types.- Implicative Linguistic Summaries.- Comparison of Discrete Memetic Evolutionary Metaheuristics for TSP.- Syntactic Analysis of Sentences Using Deep Neural Networks.- Estimating Remaining Time of Business Processes with Structural Attributes of the Traces.- Convolutional Neural Networks in the Ovarian Cancer Detection.- Analyzing the Performance of TSP Solver Methods.- A Fuzzy Model to Aggregate Performance Indicators in Sports.- Formal Analysis of Solar Power and Weather Data.- A New Community Detection Problem Based on Bipolar Fuzzy Measures.- Novel Methods of FCM Model Reduction.- Some Implications of Interval Approach to Dimension for Network Complexity.- Social Indexes Segregation based on MEOWA and MOOWA Aggregation Operators.- Combining Conceptual Graphs and Sentiment Analysis for Fake News Detection.- A Weakened Notion of Congruence to Reduce Concept Lattices.- Interactive Search by Using Minimal Generators.- Knowledge Implications in Multi-adjoint Concept Lattices.- Fuzzy Decision Support Methodology for Sustainable Packaging System Design.- Some Relationships Between the Notions of f-Inclusion and f-Contradiction.- Decomposition Integrals for Interval-valued Functions.- Relational Powerset Theories.- On Some Categories Underlying Knowledge Graphs.- On Two Categories of Many-level Fuzzy Morphological Spaces.- Congruences on Lattices and Lattice-valued Functions.- ome Roughness Features of Fuzzy Sets.