An approach utilizing negation of extended-dimensional vector of
  disposing mass for ordinal evidences combination in a fuzzy environment
  How to measure the degree of uncertainty of a given frame of discernment has
been a hot topic for years. A lot of meaningful works have provided some
effective methods to measure the degree properly. However, a crucial factor,
sequence of propositions, is missing in the definition of traditional frame of
discernment. In this paper, a detailed definition of ordinal frame of
discernment has been provided. Besides, an innovative method utilizing a
concept of computer vision to combine the order of propositions and the mass of
them is proposed to better manifest relationships between the two important
element of the frame of discernment. More than that, a specially designed
method covering some powerful tools in indicating the degree of uncertainty of
a traditional frame of discernment is also offered to give an indicator of
level of uncertainty of an ordinal frame of discernment on the level of vector.
