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  1. Applied Research in Uncertainty Modeling and Analysis
    Autor*in: Attoh-Okine, Nii O.
    Erschienen: 2005
    Verlag:  Springer Netherlands, [s.l.]

    Uncertainty has been a concern to engineers, managers, and scientists for many years in engineering and sciences. Uncertainty has for a long time been considered synonymous with random, stochastic, statistic, or probabilistic. Since the early sixties... mehr

    Standort:
    Hochschulbibliothek Friedensau
    Signatur:
    Online-Ressource
    Fernleihe:
    keine Fernleihe
    Link zum Verbundkatalog:
    Gemeinsamer Bibliotheksverbund (GBV)

     

    Uncertainty has been a concern to engineers, managers, and scientists for many years in engineering and sciences. Uncertainty has for a long time been considered synonymous with random, stochastic, statistic, or probabilistic. Since the early sixties views on uncertainty have become more heterogeneous and more tools that model uncertainty than statistics have been proposed by several engineers and scientists. The tool/ method to model uncertainty in a specific context should really be choices by considering the features of the phenomenon under consideration not independently of what is known about the system and what causes uncertainty. Applied Research in Uncertainty Modeling Analysis concentrates on general aspects of uncertainty, modeling, and methods, and consists of large numbers of examples on engineering and sciences.

     
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    Hinweise zum Inhalt
    Quelle: Verbundkataloge
    Beteiligt: Ayyub, Bilal M.
    Sprache: Englisch
    Medientyp: Ebook
    Format: Online
    ISBN: 0387235353
    Auflage/Ausgabe: 1. Aufl.
    Schriftenreihe: International series in intelligent technologies ; 20
    Schlagworte: Uncertainty; Engineering; Uncertainty; Fuzzy systems
    Umfang: Online Ressource (27011 KB, 547 S.)
    Bemerkung(en):

    "[Contributions] selected from papers presented at the ISUMA 2003"--P. xii

    Includes bibliographical references and index

    Self-Organizing Neural Networks by Dynamic and Spatial Changing WeightsUncertainty in the Automation of Ontology Matching -- Uncertainty Modeling of Data and Uncertainty Propagation for Risk Studies -- Development of Quadratic Neural Unit with Applications to Pattern Classification -- Quadratic and Cubic Neural Units for Identification and Fast State Feedback Control of Unknown Non-Linear Dynamic Systems -- Crisp Simulation of Fuzzy Computations -- Exploratory Modeling Managing Uncertain Risk -- Multi-Interval Elicitation of Random Intervals for Engineering Reliability Analysis -- Biological Applications -- Engineering and Sciences -- Transportation Engineering -- Structural Engineering.

    Electronic reproduction; Available via World Wide Web