Multiscale probability transformation of basic probability assignment
  Decision making is still an open issue in the application of Dempster-Shafer
evidence theory. A lot of works have been presented for it. In the transferable
belief model (TBM), pignistic probabilities based on the basic probability as-
signments are used for decision making. In this paper, multiscale probability
transformation of basic probability assignment based on the belief function and
the plausibility function is proposed, which is a generalization of the
pignistic probability transformation. In the multiscale probability function, a
factor q based on the Tsallis entropy is used to make the multiscale prob-
abilities diversified. An example is shown that the multiscale probability
transformation is more reasonable in the decision making.
