References
- Artstein, Z. (1972). Set-valued measures. Transactions of the AMS, 165, 103–125.
- Artstein, Z. (1974). On the calculus of closed set-valued functions. Indiana Univeristy Mathematical Journal, 24, 433–441.
- Arstein, Z. & Vitale, R. (1975). A strong law of large numbers for random compact sets. The Annals of Probability, 3(5), 879–882.
- Aubin J. P., & Frankowska H. (1990). Set-Valued Analysis. Birkhäuser: Boston, MA.
- Ben Abdelaziz, F., & Masri, H. (2005). Stochastic programming with fuzzy linear partial information on probability distribution. European Journal of Operational Research, 162(3), 619–629.
- Ben Abdelaziz, F., & Masri, H. (2010). A compromise solution for the multiobjective stochastic linear programming under partial uncertainty. European Journal of Operational Research, 202(1), 55–59.
- Beer, G. (1993). Topologies on closed and closed convex sets. Netherlands: Kluwer.
- Bitran, G. R. (1980). Linear multiobjective problems with interval coefficient. Management Science, 26(7), 694–706.
- Cascales, B., Kadets, V., & Rodrìguez, J (2007). The Pettis integral for multi-valued functions via single-valued ones. Journal of Mathematical Analysis and Applications, 332(1), 1–10.
- Cressie, N. (1979). A central limit theorem for random sets. Z. Wahrsch. Verw. Gebiete, 49(1), 37–47.
- Dupacova, J. (1987). Stochastic programming with incomplete information: a survey of results on post optimization and sensitivity analysis. Optimization, 18(4), 507–532.
- Ermoliev, Y., & Gaivoronski, A. (1985). Stochastic optimization problems with incomplete information on distribution functions. SIAM Journal on Control and Optimization, 23(5), 697–716.
- Hess C. (2002). Set-valued integration and set-valued probability theory: an overview. In: Pap E (Ed.) Handbook of Measure Theory. vols. 1, II. North-Holland: Amsterdam.
- Hiai, F. (1978). Radon–Nikodý m theorems for set-valued measures. Journal of Multivariate Analysis, 8(1), 96–118.
- Hirschberger, M., Steuer, R. E., Utz, S., Wimmer, M., & Qi, Y. (2013). Computing the nondominated surface in tri-criterion Portfolio selection. Operations Research, 61(1), 169–183.
- Kandilakis, D. (1992). On the extension of multimeasures and integration with respect to a multimeasure. Proceedings of the AMS, 116(1), 85–92.
- Kunze, H., La Torre, D., Mendivil, F., & Vrscay, E. R. (2012). Fractal-Based Methods in Analysis. New York, NY: Springer.
- Kuroiwaa, D. (2003). Existence theorems of set optimization with set-valued maps. Journal of Information and Optimization Sciences, 24(1), 73–84.
- La Torre, D., & Mendivil, F. (2007). Iterated function systems on multifunctions and inverse problems. Journal of Mathematical Analysis and Applications, 340(2), 1469–1479.
- La Torre, D., & Mendivil, F. (2009). Union-additive multimeasures and self-similarity. Communications in Mathematical Analysis, 7(2), 51–61.
- La Torre, D., & Mendivil, F. (2011). Minkowski-additive multimeasures, monotonicity and self-similarity. Image Analysis and Stereology, 30(3), 135–142.
- La Torre, D., & Mendivil, F. (2015). The Monge-Kantorovich metric on multimeasures and self-similar multimeasures. Set-Valued and Variational Analysis, 23(2), 319–331.
- Markowitz, H. (1952). Portfolio selection. The Journal of Finance, 7(1), 77–91.
- Molchanov, I. (2005). Theory of random sets. London: Springer.
- Puri, M. & Ralescu, D. (1983). Strong law of large numbers with respect to a set-valued probability measure. The Annals of Probability, 11(4), 1051–1054.
- Rockafellar, R. T. & Wets, R. J.-B. (1998). Variational analysis. New York, NY: Springer.
- Royden, H. L. (1988). Real analysis (3rd ed.). Macmillan: New York.
- Stojaković, M. (2012). Set valued probability and its connection with set valued measure. Statistics & Probability Letters, 82(6), 1043–1048.
- Urli, B., & Nadeau, R. (1990). Stochastic MOLP with incomplete information: an interactive approach with recourse. Journal Operational Research Society, 41(12), 1143–1152.
- Urli, B., & Nadeau, R. (2004). PROMISE/scenarios: An interactive method for multiobjective stochastic linear programming under partial uncertainty. European Journal Operational Research, 155(2), 361–372.
- Weil, W. (1982). An application of the Central Limit Theorem for Banach-space valued random variables to the theory of random sets. Z. Wahrscheinlichkeitstheorie verw. Gebiete, 60(2), 203–208.