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Herausgeber: 
  • Bernadette Bouchon-Meunier
  • Ronald R. Yager
  • David A. Pelta
  • Manuel Ojeda-Aciego
  • Jesús Medina
  • José Luis Verdegay
  • Inma P. Cabrera
  • Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations: 17th International Conference, IPMU 2018, Cád 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Mai 2018  
    Genre:  EDV / Informatik 
     
    Algorithm Analysis and Problem Complexity / Algorithms / Algorithms & data structures / Application software / Artificial Intelligence / C / Computer Appl. in Administrative Data Processing / Computer Application in Administrative Data Processing / computer science / Data Mining / Data Mining and Knowledge Discovery / Expert systems / knowledge-based systems / Formal Languages and Automata Theory / Information technology# general issues / Mathematical logic / Mathematical Logic and Formal Languages / Mathematical theory of computation / Public Administration
    ISBN:  9783319914756 
    EAN-Code: 
    9783319914756 
    Verlag:  Springer Nature EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  #854 - Communications in Computer and Information Science  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  11694 gr 
    Seiten:  766 
    Illustration:  XX, 766 p. 178 illus., schwarz-weiss Illustrationen 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This three volume set (CCIS 853-855) constitutes the proceedings of the 17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2017, held in Cádiz, Spain, in June 2018. The 193 revised full papers were carefully reviewed and selected from 383 submissions. The papers are organized in topical sections on 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 retrieval and 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).

      



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