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TOPSIS-Grey Method Applied to Project Portfolio Problem

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Nature-Inspired Design of Hybrid Intelligent Systems

Part of the book series: Studies in Computational Intelligence ((SCI,volume 667))

Abstract

Project portfolio selection is one of the most difficult, yet most important decision-making problems faced by many organizations in government and business sectors. The grey system theory proposed by Deng in 1982 is based on the assumption that a system is uncertain and that the information regarding the system is insufficient to build a relational analysis or to construct a model to characterize the system. The aim of this chapter is to compare a multi-attribute decision-making (MADM) that incorporates a system of preferences TOPSIS (Technique for Order Performance by Similarity to Ideal Solution) by Hwang and Yoon in (Multiple attribute decision making: methods and applications. Springer, Berlin, 1981) with TOPSIS-Grey by Lin et al. in (Expert Syst Appl 35:1638–1644, 2008).

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References

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Acknowledgments

This work was partially financed by CONACyT, TECNM and ITCM.

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Correspondence to Fausto Balderas .

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Balderas, F., Fernandez, E., Gomez, C., Cruz-Reyes, L., Rangel V, N. (2017). TOPSIS-Grey Method Applied to Project Portfolio Problem. In: Melin, P., Castillo, O., Kacprzyk, J. (eds) Nature-Inspired Design of Hybrid Intelligent Systems. Studies in Computational Intelligence, vol 667. Springer, Cham. https://doi.org/10.1007/978-3-319-47054-2_51

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  • DOI: https://doi.org/10.1007/978-3-319-47054-2_51

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