Sentence examples for maximal pignistic probability from inspiring English sources

The algorithm returns the final influence degree which is the degree having the maximal pignistic probability.

First, for each user, we take the influence with maximal pignistic probability (for example, Inf("(U_1)" = E.Strong).

As described in the previous section, we take first, for each candidate, the influence with maximal pignistic probability (for example, Inf("Marine Le Pen" = E.Strong).

After combination, the conditions can be evaluated using pignistic probability.

The most known is the pignistic probability [34].

At the pignistic level, we compute the pignistic probability to make a decision about the user's influence degree.

And finally, using Eq. (7), the belief masses distributions are transformed to pignistic probability.

We conclude that the influence degree is Weak since it has the highest pignistic probability 0.525.

Pignistic probability was proposed in the transferable belief model (TBM) [35].

Now, to make the decision about the influence degree, we compute the pignistic probability (Table 6).

In contrast to mass functions that are defined on (2^Omega), pignistic probability is a probability measure defined on (Omega).