Abstract
In this chapter we have introduced a consensus-making method in a multiple criteria environment using a combination of DEA and cooperative game theory. It is demonstrated that both DEA max and min games have the same Shapley value.
Problems like the one exemplified in this chapter are usually solved by means of (among others)
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conventional custom
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a single criterion decision or
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a fixed weights rule.
These approaches are not always “rational.”
The proposed scheme has diverse applications in areas, such as,
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cost or burden sharing in international organizations, e.g., United Nations, NATO, UNESCO and so forth,
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research grant allocation to applicants by a foundation, and
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resource distribution for R&D.
These problems are multifaceted and should be solved in a cooperative frame-work. The DEA game proposed in this chapter can be a promising method for solving these important problems and will open a new dimension to cooperative game theory.
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Notes
K. Nakabayashi and K. Tone (2006), “Egoist’s Dilemma: A DEA Game,” Omega 34, pp.135–148.
L.S. Shapley (1953), “A Value for n-Person Games,” in H.W. Kuhn and A.W. Tucker, eds., Contributions to the Theory of Games Vol. II (Annals of Mathematics Studies, 28) pp.307–317, Princeton University Press.
G. Owen (1975), “On the Core of Linear Production Games,” Mathematical Programming 9, pp.358–370.
K. Nakabayashi (2005), “Egoist’s Dilemma: A DEA Game,” Ph.D. Thesis, National Graduate Institute for Policy Studies.
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© 2007 Springer Science+Business Media, LLC
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Cooper, W.W., Seiford, L.M., Tone, K. (2007). A Dea Game. In: Data Envelopment Analysis. Springer, New York, NY. https://doi.org/10.1007/978-0-387-45283-8_15
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DOI: https://doi.org/10.1007/978-0-387-45283-8_15
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