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WS (y) = fy0 2 I RS( Γ)j8i2S : yi0 yig; BS (y) = fy0 2 I RS( Γ)j8i2S : yi0 yig; P OS (y) = (WS (y) [ BS(y)) \ P OS ( Γ): CHARNES, A. and D. GRANOT: "Prior Solutions: Extensions of Convex Nucleolus Solutions to ChanceConstrained Games," Proceedings of the Computer Science and Statisitics Seventh Symposium at Iowa State University (1973), 323332.
CHARNES, A. and D. GRANOT: "Coalitional and ChanceConstrained Solutions to nPerson Games. I: The Prior Satisficing Nucleolus," SIAM Journal of Applied Mathematics, 31 (1976), 358367.
FELLER, W.: An Introduction to Probability Theory and its Applications, Vol. I. New York: Wiley, 1950.
FELLER, W.: An Introduction to Probability Theory and its Applications, Vol. II. New York: Wiley, 1966.
POTTERS, J. and S. TIJS: "The Nucleolus of Matrix Games and Other Nucleoli," Mathematics of Operations Research, 17 (1992), 164174.
MASCHLER, M., J. POTTERS and S. TIJS: "The General Nucleolus and the Reduced Game Property'" International Journal of Game Theory, 21 (1992), 85106.
SCHMEIDLER, D.: "The Nucleolus of a Characteristic Function Game," SIAM Journal of Applied Mathematics, 17 (1969), 11631170.