Abstract
Project selection amid the available sources with promising outcomes is challenging for the decision-maker (DM). Return rate Net present value, investment size, payback period, benefit-cost analysis, and time till breakeven are among the six variables used in selecting and assessing projects. Using Hybrid Multi-Criteria Decision Making technology, this study seeks to explain the assessment and selection process. The Fuzzy Analytical Hierarchy Process (Fuzzy AHP) is used for the criterion weights, whereas Fuzzy TOPSIS is used to determine the global weights of all five projects (Investment alternatives). As a consequence of the outcomes analysis, the projects are ranked from most important to least important.
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