Abstract
In this chapter, the multi-commodity network flow problem is faced within a cooperative game theoretical approach. The shipping of a commodity generates a certain return for each player, but the cost to build the network may be uncertain. Taking care of this uncertainty of the costs, a cooperative game model is presented and the existence of core solutions is investigated.
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References
Alparslan Gök, S.Z.: On the interval Shapley value. Optimization 63, 747–755 (2014)
Alparslan Gök, S.Z., Miquel, S., Tijs, S.: Cooperation under interval uncertainty. Math. Methods Oper. Res. 69, 99–109 (2009)
Alparslan Gök, S.Z., Branzei, R., Tijs, S.: The interval Shapley value: an axiomatization. Cent. Eur. J. Oper. Res. 18, 131–140 (2010)
Avrachenkov, K., Elias, J., Martignon, F., Neglia, Petrosyan, G.L.: A Nash bargaining solution for cooperative network formation games. In: Proceedings of Networking 2011, Valencia, Spain (2011)
Branzei, R., Dimitrov, D., Tijs, S.: Models in Cooperative Game Theory, vol. 556. Springer (2003)
Branzei, R., Branzei, O., Alparslan Gök, S.Z., Tijs, S.: Cooperative interval games: a survey. Cent. Eur. J. Oper. Res. 18, 397–411 (2010)
Chen, H., Roughgarden, T., Valiant, G.: Designing networks with good equilibria. In: SODA ’08/SICOMP ’10 (2008)
D’Amato, E., Daniele, E., Mallozzi, L.: A network design model under uncertainty. In: Pardalos, P.M., Rassias, T.M. (eds.) Contributions in Mathematics and Engineering, In Honor of Constantin Caratheodory, pp. 81–93. Springer (2016)
Faigle, U., Nawijn, W.M.: Note on scheduling intervals on-line. Discret. Appl. Math. 58, 13–17 (1995)
Gilles, R.P., Chakrabarti, S., Sarangi, S.: Nash equilibria of network formation games under consent. Math. Soc. Sci. 64, 159–165 (2012)
Liu, X., Zhang, M., Zang, Z.: On interval assignment games. In: Zang, D. (ed.) Advances in Control and Communication, LNEE, vo. 137, pp. 611–616 (2012)
Mallozzi, L.: An application of optimization theory to the study of equilibria for games: a survey. Cent. Eur. J. Oper. Res. 21, 523–539 (2013)
Mallozzi, L., Scalzo, V., Tijs, S.: Fuzzy interval cooperative games. Fuzzy Sets Syst. 165, 98–105 (2011)
Mares, M., Vlach, M.: Fuzzy classes of cooperative games with transferable utility. Scientiae Mathematicae Japonica 2, 269–278 (2004)
Marinakis, Y., Migdalas, A., Pardalos, P.M.: Expanding neighborhood search GRASP for the probabilistic traveling salesman problem. Optim. Lett. 2, 351–361 (2008)
Monderer, D., Shapley, L.S.: Potential games. Games Econ. Behav. 14 124–143 (1996)
Moulin, H.: Cost sharing in networks: some open questions. Int. Game Theory Rev. 15, 134–144 (2013)
Moulin, H., Shenker, S.: Serial cost sharing. Econometrica 60, 1009–1037 (1992)
Nisan, N., Roughgarden, T., Tardos, E., Vazirani, V.V.: Algorithmic Game Theory. Cambridge University Press, New York (2007)
Owen, G.: Game Theory. Academic Press, UK (1995)
Ozen, U., Slikker, M., Norde, H.: A general framework for cooperation under uncertainty. Oper. Res. Lett. 37, 148–154 (2017)
Sharkey, W.W.: Network models in economics. In: Bali, M.O. et al., (eds.) Handbooks in OR & MS, vol. 8 (1995)
Tijs, S.: Introduction to Game Theory. Hindustan Book Agency (2003)
Topkis, D.: Supermodularity and Complementarity. Princeton University Press, Princeton (1998)
Trudeau, C., Vidal-Puga, J.: On the set of extreme core allocations for minimal cost spanning tree problems. J. Econ. Theory 169, 425–452 (2017)
Acknowledgements
The work has been supported by STAR 2014 (linea 1) “Variational Analysis and Equilibrium Models in Physical and Social Economic Phenomena”, University of Naples Federico II, Italy.
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Mallozzi, L., Sacco, A. (2018). Cooperative Games in Networks Under Uncertainty on the Costs. In: Neogy, S., Bapat, R., Dubey, D. (eds) Mathematical Programming and Game Theory. Indian Statistical Institute Series. Springer, Singapore. https://doi.org/10.1007/978-981-13-3059-9_10
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