A Mamdani Fuzzy Logic Inference System to Estimate Project Cost

The precision and reliability of estimations of project costs are essential, especially in significant cooperation. The level of uncertainty when estimating projects can cause issues down the line during a project. For generations, humans are more often than always in a predicament where estimation for a project size or cost appears to be complicated. The methodology adopted in this research included using the literature to review the topic of project estimation and explore the use of fuzzy logic in order to define an initial fuzzy system. The development of a system to estimate project costs is based on findings from the literature. This work seeks to demonstrate the benefits of using fuzzy logic in estimating the cost for business. Analysis of the results attained during testing and research shows that the system could be beneficial for estimating the cost of projects. The results show that the system can produce an appropriate result when estimating project cost. The study concludes that there is still room for improvement and that further development and testing could lead to improvements; however, the current system gives a foundation for further development such that the system can be put to use in a real-world situation. Whether it is for business or personal circumstances where any or most cases, cost estimation is required.