Abstract
Decision-making processes involve a series of steps: identifying the problems, constructing the preferences, evaluating the alternatives, and determining the best alternatives (Simon, The new science of management decision. In: Proceedings of the 33rd Conference of the Operational Research Society of New Zealand, Citeseer, 1960). Using a multi-criteria decision making approach, the grey system theory has been used to capture the complexity inherent in selection process. The grey system theory proposed by Deng (J. Grey Syst. 1(1), 1–24 1989) 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 provide a short review of the three mostly seen research methods employed for the investigation of uncertain systems: probability and statistics, fuzzy mathematics and grey systems theory. This chapter provides a short review of the general framework, current research trends and future research topics on grey systems applied to decision problems.
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Balderas, F., Fernandez, E., Gómez, C., Cruz-Reyes, L. (2015). A Survey of Grey Systems Applied to Multi-objective Problem. In: Melin, P., Castillo, O., Kacprzyk, J. (eds) Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization. Studies in Computational Intelligence, vol 601. Springer, Cham. https://doi.org/10.1007/978-3-319-17747-2_32
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DOI: https://doi.org/10.1007/978-3-319-17747-2_32
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