Search Results - "Smets, Philippe"

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  1. 1

    Decision making in the TBM: the necessity of the pignistic transformation by Smets, Philippe

    “…In the transferable belief model (TBM), pignistic probabilities are used for decision making. The nature of the pignistic transformation is justified by a…”
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    Journal Article
  2. 2

    Classification Using Belief Functions: Relationship Between Case-Based and Model-Based Approaches by Denoeux, T., Smets, P.

    “…The transferable belief model (TBM) is a model to represent quantified uncertainties based on belief functions, unrelated to any underlying probability model…”
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    Journal Article
  3. 3

    Analyzing the combination of conflicting belief functions by Smets, Philippe

    Published in Information fusion (01-10-2007)
    “…We consider uncertain data which uncertainty is represented by belief functions and that must be combined. The result of the combination of the belief…”
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    Journal Article
  4. 4

    Belief functions on real numbers by Smets, Philippe

    “…We generalize the TBM (transferable belief model) to the case where the frame of discernment is the extended set of real numbers R = [ - ∞ , ∞ ] , under the…”
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    Journal Article
  5. 5

    The TBM global distance measure for the association of uncertain combat ID declarations by Ristic, Branko, Smets, Philippe

    Published in Information fusion (01-09-2006)
    “…The problem is sequential association of combat ID declarations in the multi-target environment. Being random and non-specific, the combat ID declarations are…”
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    Journal Article
  6. 6

    The application of the matrix calculus to belief functions by Smets, Philippe

    “…The mathematics of belief functions can be handled with the use of the matrix notation. This representation helps greatly the user thanks to its notational…”
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    Journal Article
  7. 7

    Kalman filter and joint tracking and classification based on belief functions in the TBM framework by Smets, Philippe, Ristic, Branko

    Published in Information fusion (2007)
    “…The paper develops an approach to joint tracking and classification based on belief functions as understood in the transferable belief model (TBM). The TBM…”
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    Journal Article
  8. 8

    A definition of subjective possibility by Dubois, Didier, Prade, Henri, Smets, Philippe

    “…Based on the setting of exchangeable bets, this paper proposes a subjectivist view of numerical possibility theory. It relies on the assumption that when an…”
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    Journal Article
  9. 9

    Global cost of assignment in the TBM framework for association of uncertain ID reports by Ristic, Branko, Smets, Philippe

    Published in Aerospace science and technology (01-05-2007)
    “…Suppose we are given multiple independent reports on the count and identification (class, type, allegiance) of objects that are present in a certain volume of…”
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    Journal Article Conference Proceeding
  10. 10

    Target identification based on the transferable belief model interpretation of dempster-shafer model by Delmotte, F., Smets, P.

    “…This paper explains how multisensor data fusion and target identification can be performed within the transferable belief model (TBM), a model for the…”
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    Journal Article
  11. 11

    Assessing sensor reliability for multisensor data fusion within the transferable belief model by Elouedi, Z., Mellouli, K., Smets, P.

    “…This paper presents a method for assessing the reliability of a sensor in a classification problem based on the transferable belief model. First, we develop a…”
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    Journal Article
  12. 12

    Target identification using belief functions and implication rules by Ristic, B., Smets, P.

    “…Presented here is the theoretical basis of data fusion for the purpose of target identification using the belief function theory. The key feature is that we…”
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    Journal Article
  13. 13

    Target classification approach based on the belief function theory by Ristic, B., Smets, P.

    “…A theoretical framework is presented for target classification based on the belief theory on the continuous space. The proposed approach is applicable when…”
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    Journal Article
  14. 14

    Application of the transferable belief model to diagnostic problems by Smets, Philippe

    “…I give a short presentation of the most relevant elements of the transferable belief model and its use for problems related to the diagnostic process. These…”
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    Journal Article Conference Proceeding
  15. 15

    The combination of evidence in the transferable belief model by Smets, P.

    “…A description of the transferable belief model, which is used to quantify degrees of belief based on belief functions, is given. The impact of open- and…”
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    Journal Article
  16. 16

    Data association in multi-target detection using the transferable belief model by Ayoun, André, Smets, Philippe

    “…In the transferable belief model, a model for the quantified representation of beliefs, some masses can be allocated to the empty set. It reflects the conflict…”
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    Journal Article
  17. 17

    Belief decision trees: theoretical foundations by Elouedi, Zied, Mellouli, Khaled, Smets, Philippe

    “…This paper extends the decision tree technique to an uncertain environment where the uncertainty is represented by belief functions as interpreted in the…”
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    Journal Article
  18. 18

    The normative representation of quantified beliefs by belief functions by Smets, Philippe

    Published in Artificial intelligence (01-05-1997)
    “…The use of belief functions has recently been advocated as an alternative to the use of probability functions in order to represent quantified beliefs. Such a…”
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    Journal Article
  19. 19

    Belief function independence: II. The conditional case by Ben Yaghlane, Boutheina, Smets, Philippe, Mellouli, Khaled

    “…In the companion paper [Int. J. Approx. Reasoning 29 (1) (2002) 47], we have emphasized the distinction between non-interactivity and doxastic independence in…”
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  20. 20

    Belief functions and default reasoning by Benferhat, S., Saffiotti, A., Smets, P.

    Published in Artificial intelligence (01-09-2000)
    “…We present a new approach to deal with default information based on the theory of belief functions. Our semantic structures, inspired by Adams' epsilon…”
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    Journal Article