Abstract
In most industrial projects, costs and completion dates are difficult to predict. More
efficient project management is needed in order to maintain schedules and reduce cost. Narrowing
down requirements to applicable specifications and unifying or cutting tasks in projects are
effective means to shorten schedules and reduce costs. This paper aims to prioritize requirements
using cost share rates from linguistic analysis and artificial neural networks. At the conclusion, this
paper shows the potential to prioritize requirements and to reduce costs by limiting requirements. In
the future, this method would be able to help unify or cut tasks in system development projects in
order to shorten schedule and reduce costs.
