will be in the form p x t p x f where p x t p x f lt 1 0 this diverges from probability theory in that the probabilities do not have to sum to 1 0 instead the remainder u 1 u2212 p x t p x f is the uncertainty factor essentially an individual will provide his or her belief in the true and false states of a variable by providing mass for t and f any remaining value indicates a lack of knowledge about the state and is equivalent to the universal set tf thus if a person has evidence that indicates that a tamper event is 40 likely and another piece of evidence that indicates that it is 30 unlikely there is 30 gap that indicates uncertainty multiple sensors could also provide the evidence suppose that each of k sensors can provide positive evidence of an event if a sensor is 100 certain about its observation it will provide 1 0 k percent of the evidence to indicate an event if all sensors are 100 certain then the event is 100 likely to occur however if one or more of the k sensors is uncertain in its evidence this does not necessarily mean that it is certain that the event will not.