Government transportation agencies are faced with the problem of efficiently selecting a
subset of transportation projects for implementation. This selection process is based on
multiple objectives which are often measured in incommensurable units. Usually, the
problem is treated by neglecting or biasing the qualitative characteristics of the various
projects. Moreover, the usual selection methods cannot deal effectively with the decision
makers' preferences or vagueness. Fuzzy sets theory is able to cope with inexact …