Investment project selection by applying COPRAS method and imprecise data
作者： Gabrijela Popović , Dragiša Stanujkić , Sanja Stojanović
DOI: 10.5937/SJM7-2268
关键词: Task (project management) 、 Computer science 、 Project selection 、 Operations research 、 Set (abstract data type) 、 Management science 、 Selection (genetic algorithm) 、 Interval (mathematics) 、 Financial analysis 、 Investment (macroeconomics)
摘要: Investment projects can have a significant impact on the functioning and development of company. Therefore, selection one or more investment from set possible is an important difficult task for decision makers. This paper considers based financial analysis criteria use imprecise data. In proposed model, alternative performances are expressed using crisp interval values, then best project available selected by COPRAS COPRAS-G methods. A numerical example given to demonstrate applicability effectiveness approach.
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