Exponential negation of a probability distribution

Negation operation is important in intelligent information processing. Different existing arithmetic negation, an exponential negation presented this paper. The new can be seen as a kind of geometry negation. Some basic properties the proposed are investigated, and we find that fix point uniform probability distribution, which reaches maximum entropy. entropy increase operation, all distributions will converge to distribution after multiple iterations. convergence speed also faster than existed number iterations inversely proportional elements distribution. numerical examples used illustrate efficiency