Fuzzy engineering economic analysis

This paper presents an approach for including nonstatistical uncertainties in engineering economic analysis, particularly utility economic analysis, b y modeling uncertain variables with fuzzy numbers. In this case, the mathem atical operations are defined by the extension principle and the results ob tained are also in a form of fuzzy numbers. This approach can be seen as an extension of a previously proposed one that uses interval numbers and inte rval analysis for including such uncertainties. However, this paper conside rs also the dependence which may exist between the fuzzy variables and show s the impact this dependence may have on the results. In this context, a wa y of modeling partial correlation between the variables of the same kind is proposed.