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A component pruning algorithm based on entropy distribution is proposed for the Gaussian mixture implementation of probability hypothesis density filter. Maximum a posterior criterion is adopted for the estimation of mixing parameters. Entropy distribution with negative exponent parameters, which only depends on mixing weights, is adopted as the prior distribution of mixing parameters. The update...
The reduction of attributes is a critical problem in the rough set theory. Finding the minimal reduct is turned out to be a NP-hard problem. Many heuristic algorithms, which use the significance of the condition attribute with reference to the decision attributes as the indication for attribute selection, have been proposed in this area. In this paper the pair-wise complementarity of condition attributes...
In Dempster-Shafer Theory (DST) of evidence and transferable belief model (TBM), the probability transformation is necessary and crucial for decision-making. The evaluation of the quality of the probability transformation is usually based on the entropy or the probabilistic information content (PIC) measures, which are questioned in this paper. Another alternative of probability transformation approach...
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