Node penalty evaluation of a complex situation is an important yet difficult
human decision making within the conceptual framework of fuzzy logic and approximating
reasoning. The multi-criteria safety route problem is concerned with determining the safety
route from an origin to a destination through a connected network, given the different
criterion associated with each node of the network. In most cases routes are determined
based on shortest distances least-cost or least-time. In our case in addition to the previous
criterion other criteria such as elevation restricted areas type I and restricted areas type II are
not considered as intelligent as they must be. To tackle the problem a new integration form
took place between operations research and artificial intelligence. The statement of multiple
criterion safety route problem with fuzzy coefficients will be presented. A simpler yet more
effective methods are introduced to develop a fuzzy logic safety route model based on these
different criteria of route parameters that converts fiizzified inputs to fuzzy output through
fuzzy membership functions.