Parameter estimation based on interval-valued belief structures

@article{Deng2015ParameterEB,
  title={Parameter estimation based on interval-valued belief structures},
  author={Xinyang Deng and Yong Hu and Felix T. S. Chan and Sankaran Mahadevan and Yong Deng},
  journal={ArXiv},
  year={2015},
  volume={abs/1402.3664}
}
  • Xinyang Deng, Yong Hu, +2 authors Yong Deng
  • Published in Eur. J. Oper. Res. 2015
  • Mathematics, Computer Science
  • ArXiv
  • Parameter estimation based on uncertain data represented as belief structures is one of the latest problems in the Dempster–Shafer theory. In this paper, a novel method is proposed for the parameter estimation in the case where belief structures are uncertain and represented as interval-valued belief structures. Within our proposed method, the maximization of likelihood criterion and minimization of estimated parameter’s uncertainty are taken into consideration simultaneously. As an… CONTINUE READING
    1
    Twitter Mention

    Tables and Topics from this paper.

    Citations

    Publications citing this paper.
    SHOWING 1-8 OF 8 CITATIONS

    Change Detection in Heterogenous Remote Sensing Images via Homogeneous Pixel Transformation

    VIEW 1 EXCERPT
    CITES BACKGROUND

    Evidence Combination From an Evolutionary Game Theory Perspective

    VIEW 1 EXCERPT

    Newborns prediction based on a belief Markov chain model

    VIEW 1 EXCERPT
    CITES BACKGROUND

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 15 REFERENCES

    Maximum Likelihood Estimation from Uncertain Data in the Belief Function Framework

    • Thierry Denoeux
    • Computer Science
    • IEEE Transactions on Knowledge and Data Engineering
    • 2013
    VIEW 7 EXCERPTS
    HIGHLY INFLUENTIAL

    Decision-making with interval probabilities

    • Peijun Guo, Hideo Tanaka
    • Computer Science, Mathematics
    • 2008 IEEE International Conference on Systems, Man and Cybernetics
    • 2008
    VIEW 4 EXCERPTS
    HIGHLY INFLUENTIAL

    Parametric regression analysis of imprecise and uncertain data in the fuzzy belief function framework

    VIEW 5 EXCERPTS
    HIGHLY INFLUENTIAL

    A Mathematical Theory Of Evidence

    VIEW 4 EXCERPTS
    HIGHLY INFLUENTIAL

    Evidential reasoning rule for evidence combination

    VIEW 1 EXCERPT

    Modeling uncertainty in multi-criteria decision analysis

    VIEW 2 EXCERPTS

    The conjunctive combination of interval-valued belief structures from dependent sources

    VIEW 1 EXCERPT