On the negation of a Dempster-Shafer belief structure based on maximum
  uncertainty allocation
  Probability theory and Dempster-Shafer theory are two germane theories to
represent and handle uncertain information. Recent study suggested a
transformation to obtain the negation of a probability distribution based on
the maximum entropy. Correspondingly, determining the negation of a belief
structure, however, is still an open issue in Dempster-Shafer theory, which is
very important in theoretical research and practical applications. In this
paper, a negation transformation for belief structures is proposed based on
maximum uncertainty allocation, and several important properties satisfied by
the transformation have been studied. The proposed negation transformation is
more general and could totally compatible with existing transformation for
probability distributions.
