Neutrosophic Distribution as Triple Probability Distribution

Nidus Idearum. Scilogs, IX: neutrosophia perennis

where d1 = degree of color C1 that characterized x, ..., d5 = degree of color C5 that characterizes x.

The degree may be fuzzy degree, or intuitionistic fuzzy degree, or neutrosophic degree.

Later on, you may need to combine (union, intersection, etc.), x(d1, d2, d3, d4, d5) with y(e1, e2, e3, e4, e5), where e1 = degree of color C1 that characterized y, ..., e5 = degree of color C5 that characterizes y.

In such case you can employ the plithogenic set, that allows an element x be characterized by many attribute values.

How did you deal with colored image processing?

Neutrosophic Distribution as Triple Probability Distribution

Florentin Smarandache to Terman Frometa-Castillo

Neutrosophic probability of an event E is: - chance that event E occurs, - chance that event E does not occur, - indeterminate-chance of event E to occur or not.

In the future maybe, besides computing the probability that the event occurs, try to see the other two probabilities (if the event does not occur), or indeterminate (neutral, unknown) chance of the event occurring or not. You then bring more information to the study of tumor neutrosophic probability.

There also may be the cases that according to some human variable, there is bigger tumor probability,