This paper investigates the potential of Evidence Theory (ET) and Bayesian Theory (BT) for decision under uncertainty, when the evidence about uncertainty is imprecise. The basic concepts of ET and BT are introduced and the ways these theories model uncertainties, propagate them through systems and assess the safety of these systems are presented. ET and BT approaches are demonstrated and compared on examples involving an algebraic function when the evidence about the input variables consists of intervals provided by experts. It is recommended that a decision maker compute both the Bayesian probability of events and their lower and upper probabilities using ET when evidence from experts is imprecise. A large gap between the lower and upper probability suggests that more information should be collected before making a decision. If this is not feasible, then Bayesian probabilities can help make a decision.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Evidence Theory Approach and Bayesian Approach for Modeling Uncertainty when Information is Imprecise


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:

    Kongress:

    SAE 2003 World Congress & Exhibition ; 2003



    Erscheinungsdatum :

    2003-03-03




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




    Evidence theory approach and bayesian approach for modeling uncertainty when information is imprecise

    Soundappan,P. / Nikolaidis,E. / Univ.of Toledo,US | Kraftfahrwesen | 2003


    2003-01-0144 Evidence Theory Approach and Bayesian Approach for Modeling Uncertainty when Information is Imprecise

    Soundappan, P. / Nikolaidis, E. / Society of Automotive Engineers | British Library Conference Proceedings | 2003


    2003-01-0144 Evidence Theory Approach and Bayesian Approach for Modeling Uncertainty when Information is Imprecise

    Soundappan, P. / Nikolaidis, E. / Society of Automotive Engineers | British Library Conference Proceedings | 2003



    Design under Uncertainty using a Combination of Evidence Theory and a Bayesian Approach

    Ellis, Clifton / Zhou, Jun / Mourelatos, Zissimos P. | SAE Technical Papers | 2008