Soft computing as a way to overcoming not-factors in the problems of the projects viability estimation

We study theoretical aspects of Not-factors and methods of their accounting in the problem of projects viability estimation, and suggest multi-fuzzy, fuzzy-interval and genetic-algorithm approaches based on formation of multi-criteria evaluations and choice of an acceptable design alternative. The proposed routines help to make more reliable decisions on possibility of project implementation and, thus, to lower risk of project failure.