Traditional RAH&S methods are typically based on information, which is subject to uncertainty (usually handled by probability and/or statistics theories) or is just illdefined. Due to its intrinsic uncertainty and incompleteness traditional RAH&S methods present some limitations, as pointed by some authors [Karwowski & Mital, (1986); Cornell (1996); Wang et Ruxton. (1997); Pender (2001); Sii et al. (2001); Tixier (2002); Faber (2003); Nilsen (2003); Kentel et Aral. (2004)], such as: