Abstract
In this paper, we introduce several improved Shapley values for cooperative transferable utility (TU) games depending on the players’ least square contributions instead of their marginal contributions. This work is mainly enlightened by the Shapley value and the player’s productivity-based excess (usually called the excess of the player). Based on the player’s contribution-based excess, two quadratic programming models for obtaining the players’ (weighted) least square contributions are constructed. The efficient weighted Shapley-like value proposed in this paper as an extension of the Shapley value can be characterized by four independent axioms such as the symmetry, the efficiency, the additivity, and the quasi-null player, which are almost similar to the Shapley value’s four axioms except that the anonymity is replaced with the quasi-null player. The four axioms are proven to uniquely determine the efficient weighted Shapley-like value. Finally, the advantages of the proposed values are illustrated with a real case about the collaborative profit sharing of the rural e-commerce.
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References
Abouou M, Singh S, Otrok H, Mizouni R, Ouali A (2019) Gale-Shapley matching game selection-a framework for user satisfaction. IEEE Access 7:3694–3703
Arık OA, Köse E, Forrest JY (2019) Project staff scheduling with theory of coalition. Group Decis Negot 28:827–847
Banzhaf JF (1965) Weighted voting does not work: a mathematical analysis. Rutgers Law Rev 19:317–343
Driessen TSH, Funaki Y (1991) Coincidence of and collinearity between game theoretic solutions. OR Spectr 13(1):15–30
Dubey P, Neyman A, Weber R (1981) Value theory without efficiency. Math Oper Res 6(1):122–128
Gillies DB (1953) Some theorems on n-person games. Princeton University Press, Princeton
Grotte J (1976) Dynamics of cooperative games. Int J Game Theory 5(1):27–64
Hammer P, Holzman R (1992) Approximations of pseudo-boolean functions; applications to game theory. ZOR-Methods Models Op Res 36:3–21
Kalai E, Samet D (1987) On weighted Shapley values. Int J Game Theory 16(3):205–222
Liu X, Wang X, Qu Q, Zhang L (2018) Double hierarchy hesitant fuzzy linguistic mathematical programming method for MAGDM based on Shapley values and incomplete preference information. IEEE Access 6:74162–74179
Liu S, Wu Y, Li L, Liu X, Xu W (2019) A Two-stage energy-efficient approach for joint power control and channel allocation in D2D communication. IEEE Access 7:16940–16951
Liu JC, Zhao WJ, Lev B, Li DF, Sheu JB, Dai YW (2020) Novel equal division values based on players’ excess vectors and their applications to logistics enterprise coalitions. Inf Sci 512:1543–1554
Liu JC, Sheu JB, Li DF, Dai YW (2021) Collaborative profit allocation schemes for logistics enterprise coalitions with incomplete information. Omega 101:102237
Magaña A, Carreras F (2018) Coalition formation and stability. Group Decis Negot 27:467–502
Owen G (1975) Multilinear extensions and the Banzhaf value. Naval Res Logist Q 22(4):741–750
Ruiz LM, Valenciano F, Zarzuelo JM (1996) The least square Prenucleolus and the least square nucleolus. Two values for TU games based on the excess vector. Int J Game Theory 25:113–134
Ruiz LM, Valenciano F, Zarzuelo JM (1998a) Some new results on least square values for TU games. Sociedad de Estadística e Invest Op 6(1):139–158
Ruiz LM, Valenciano F, Zarzuelo JM (1998b) The Family of Least Square Values for Transferable Utility Games. Game Econ Behav 24:109–130
Sakawa M, Nishizaki I (1994) A lexicographical solution concept in an n -person cooperative fuzzy game. Fuzzy Set Syst 61(3):265–275
Schmeidler D (1969) The nucleolus of a characteristic function game. SIAM J Appl Math 17(6):1163–1170
Shapley LS (1953) A value for n-person games. In: Kuhn H, Tucker A (eds) Contributions to the theory of games. Princeton University Press, Princeton
Shapley LS (1971) Cores of convex games. Int J Game Theory 1(1):11–26
Sharma S, Abhyankar A (2017) Loss allocation for weakly meshed distribution system using analytical formulation of Shapley value. IEEE T Power Syst 32(2):1369–1377
Singh C, Sarkar S, Aram A, Kumar A (2012) Cooperative profit sharing in coalition-based resource allocation in wireless networks. IEEE/ACM T Network 20(1):69–83
Acknowledgement
This work was supported in part by the National Natural Science Foundation of China under grant No. 72071032, the Social Science Planning Program of Fujian Province of China under Grant FJ2018B014, and the Special Foundation Program for Science and Technology Innovation of Fujian Agriculture and Forestry University of China under Grant CXZX2020043S.
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Liu, JC., Li, DF. Improved Shapley Values Based on Players’ Least Square Contributions and Their Applications in the Collaborative Profit Sharing of the Rural E-commerce. Group Decis Negot 31, 7–22 (2022). https://doi.org/10.1007/s10726-021-09741-2
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DOI: https://doi.org/10.1007/s10726-021-09741-2