27 research outputs found

    The BBAs of elements of the sub-frames Ω<sub>22</sub> for Example 1.

    No full text
    <p>The BBAs of elements of the sub-frames Ω<sub>22</sub> for Example 1.</p

    DSmT modeling function.

    No full text
    <p>DSmT modeling function.</p

    Three Bayesian BBAs for Example 1.

    No full text
    <p>Three Bayesian BBAs for Example 1.</p

    Contextual information.

    No full text
    <p>Contextual information.</p

    The BBAs of elements of the sub-frames Ω<sub>21</sub> for Example 1.

    No full text
    <p>The BBAs of elements of the sub-frames Ω<sub>21</sub> for Example 1.</p

    A fast combination method in DSmT and its application to recommender system

    No full text
    <div><p>In many applications involving epistemic uncertainties usually modeled by belief functions, it is often necessary to approximate general (non-Bayesian) basic belief assignments (BBAs) to subjective probabilities (called Bayesian BBAs). This necessity occurs if one needs to embed the fusion result in a system based on the probabilistic framework and Bayesian inference (e.g. tracking systems), or if one needs to make a decision in the decision making problems. In this paper, we present a new fast combination method, called modified rigid coarsening (MRC), to obtain the final Bayesian BBAs based on hierarchical decomposition (coarsening) of the frame of discernment. Regarding this method, focal elements with probabilities are coarsened efficiently to reduce computational complexity in the process of combination by using disagreement vector and a simple dichotomous approach. In order to prove the practicality of our approach, this new approach is applied to combine users’ soft preferences in recommender systems (RSs). Additionally, in order to make a comprehensive performance comparison, the proportional conflict redistribution rule #6 (PCR6) is regarded as a baseline in a range of experiments. According to the results of experiments, MRC is more effective in accuracy of recommendations compared to original Rigid Coarsening (RC) method and comparable in computational time.</p></div

    General process of recommendations.

    No full text
    <p>General process of recommendations.</p

    The BBAs of elements of the sub-frames Ω<sub>3</sub> Using MRC for Example 1.

    No full text
    <p>The BBAs of elements of the sub-frames Ω<sub>3</sub> Using MRC for Example 1.</p
    corecore