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Some Excess-Based Solutions For Cooperative Games With Transferable Utility

Author

Listed:
  • KRISHNA CHAITANYA VANAM

    (S&P Capital IQ, Survey No. 12P, Kondapur Village, Hyderabad, 500 081, India)

  • N. HEMACHANDRA

    (Industrial Engineering and Operations Research, IIT Bombay, Powai, Mumbai, 400 076, India)

Abstract

For a finite player cooperative cost game, we consider two solutions that are based on excesses of coalitions. We define per-capita excess-sum of a player as sum of normalized excesses of coalitions involving this player and view it as a measure of player's dissatisfaction. So, per-capita excess-sum allocation is that imputation that minimizes the maximum per-capita excess-sums of players. We provide a closed form expression for an allocation, which is the per-capita excess-sum allocation if it is also individually rational. We propose a finite step algorithm to compute per-capita excess-sum allocation for a general game. We show that per-capita excess-sum allocation is coalitionally monotonic. Next, we consider excess-sum solution wherein a player views entire coalition's excess as a measure of dissatisfaction. This excess-sum solution also has above properties. In addition, we consider a super set of core and show that excess-sum allocation can be viewed as an imputation that is a certain center of this polyhedron. We introduce a class of cooperative games that can model cost sharing among divisions of a firm when they buy items at volume discounts. We characterize when excess-based allocations coincide with Shapley value, nucleolus, etc. in such games.

Suggested Citation

  • Krishna Chaitanya Vanam & N. Hemachandra, 2013. "Some Excess-Based Solutions For Cooperative Games With Transferable Utility," International Game Theory Review (IGTR), World Scientific Publishing Co. Pte. Ltd., vol. 15(04), pages 1-14.
  • Handle: RePEc:wsi:igtrxx:v:15:y:2013:i:04:n:s021919891340029x
    DOI: 10.1142/S021919891340029X
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    Cited by:

    1. Xia Zhang & René van den Brink & Arantza Estévez-Fernández & Hao Sun, 2022. "Individual weighted excess and least square values," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 95(2), pages 281-296, April.

    More about this item

    Keywords

    Min–max; coalitional monotonicity; approximate core; cost sharing; Shapley value; nucleolus; 91A12; 91B32; 90C47;
    All these keywords.

    JEL classification:

    • B4 - Schools of Economic Thought and Methodology - - Economic Methodology
    • C0 - Mathematical and Quantitative Methods - - General
    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • C7 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory
    • D5 - Microeconomics - - General Equilibrium and Disequilibrium
    • D7 - Microeconomics - - Analysis of Collective Decision-Making
    • M2 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics

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