Tournament solutions based on cooperative game theory

被引:0
|
作者
Aleksei Y. Kondratev
Vladimir V. Mazalov
机构
[1] National Research University Higher School of Economics,Institute of Applied Mathematical Research
[2] Institute for Problems of Regional Economics RAS,School of Mathematics and Statistics and Institute of Applied Mathematics
[3] Karelian Research Center of Russian Academy of Sciences,undefined
[4] Qingdao University,undefined
来源
关键词
Tournament solution; Simple game; Shapley–Shubik index; Penrose–Banzhaf index; Desirability relation; Uncovered set; MSC 91A12; MSC 91B14; C71; D71; C44;
D O I
暂无
中图分类号
学科分类号
摘要
A tournament can be represented as a set of candidates and the results from pairwise comparisons of the candidates. In our setting, candidates may form coalitions. The candidates can choose to fix who wins the pairwise comparisons within their coalition. A coalition is winning if it can guarantee that a candidate from this coalition will win each pairwise comparison. This approach divides all coalitions into two groups and is, hence, a simple game. We show that each minimal winning coalition consists of a certain uncovered candidate and its dominators. We then apply solution concepts developed for simple games and consider the desirability relation and the power indices which preserve this relation. The tournament solution, defined as the maximal elements of the desirability relation, is a good way to select the strongest candidates. The Shapley–Shubik index, the Penrose–Banzhaf index, and the nucleolus are used to measure the power of the candidates. We also extend this approach to the case of weak tournaments.
引用
收藏
页码:119 / 145
页数:26
相关论文
共 50 条
  • [1] Tournament solutions based on cooperative game theory
    Kondratev, Aleksei Y.
    Mazalov, Vladimir V.
    [J]. INTERNATIONAL JOURNAL OF GAME THEORY, 2020, 49 (01) : 119 - 145
  • [2] INFORMATION DECOMPOSITION BASED ON COOPERATIVE GAME THEORY
    Ay, Nihat
    Polani, Daniel
    Virgo, Nathaniel
    [J]. KYBERNETIKA, 2020, 56 (05) : 979 - 1014
  • [3] Dissection of solutions in cooperative game theory using representation techniques
    Hernandez-Lamoneda, L.
    Juarez, R.
    Sanchez-Sanchez, F.
    [J]. INTERNATIONAL JOURNAL OF GAME THEORY, 2007, 35 (03) : 395 - 426
  • [4] Dissection of solutions in cooperative game theory using representation techniques
    L. Hernández-Lamoneda
    R. Juárez
    F. Sánchez-Sánchez
    [J]. International Journal of Game Theory, 2007, 35 : 395 - 426
  • [5] A NOVEL COOPERATIVE SPECTRUM SENSING METHOD BASED ON COOPERATIVE GAME THEORY
    Cao Kaitian Yang Zhen (Institute of Signal Processing and Transmission
    [J]. Journal of Electronics(China), 2010, 27 (02) : 183 - 189
  • [6] An approach for leukemia classification based on cooperative game theory
    Torkaman, Atefeh
    Charkari, Nasrollah Moghaddam
    Aghaeipour, Mahnaz
    [J]. ANALYTICAL CELLULAR PATHOLOGY, 2011, 34 (05) : 235 - 246
  • [7] Cooperative Incentive Mechanism Based on Game Theory in MANET
    Feng, Daming
    Zhu, Yanqin
    Luo, Xizhao
    [J]. 2009 INTERNATIONAL CONFERENCE ON NETWORKING AND DIGITAL SOCIETY, VOL 2, PROCEEDINGS, 2009, : 201 - 204
  • [8] Game theory based cooperative driving algorithm for intersection
    Guo, Wei
    Yang, Ming
    Wang, Bing
    Wang, Chunxiang
    [J]. Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition), 2011, 39 (SUPPL. 2): : 385 - 387
  • [9] Cooperative control of STATCOM based on differential game theory
    Yang, Xin
    Chen, Haoyong
    Lu, Runge
    Wen, Junzhong
    Xu, Xuanhao
    [J]. Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2014, 38 (21): : 53 - 57
  • [10] An image labeling algorithm based on cooperative game theory
    Guo, GD
    Yu, S
    de Ma, S
    [J]. ICSP '98: 1998 FOURTH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, PROCEEDINGS, VOLS I AND II, 1998, : 978 - 981