The support of alternative project choice with using intelligence systems
Marcin Relich · Applied Computer Science · 2010
This paper aims to make an approach that supports the process of taking investment decision in case if the primary project cannot be completed. The factors, which occur in investment decision-making, often have an imprecise and uncertain form. In this case may be used a fuzzy neural system that supports the choice of alternative project by improvement in the estimates precision for requested resources. The paper contains an example with the using of different approaches in the estimation of time for project critical tasks that commit the substantial enterprise resources.