The risk of earning manipulation consists of motivation, opportunity, exposure probability and degree of punishment.

In this paper some results are reported upon the decision of the evenness by elementary divisors, in accordance with the state diagram theories of linear automata.

The conflict factor of D-S evidence theory is applied to constructing an adaptive ultrasonic sensor model for the navigation of mobile robots in narrow unknown environments.