Title
The Family of Ideal Values for Cooperative Games
Abstract
In view of the nature of pursuing profit, a selfish coefficient function is employed to describe the degrees of selfishness of players in different coalitions, which is the desired rate of return to the worth of coalitions. This function brings in the concept of individual expected reward to every player. Built on different selfish coefficient functions, the family of ideal values can be obtained by minimizing deviations from the individual expected rewards. Then, we show the relationships between the family of ideal values and two other classical families of values: the procedural values and the least square values. For any selfish coefficient function, the corresponding ideal value is characterized by efficiency, linearity, an equal-expectation player property and a nullifying player punishment property, and also interpreted by a dynamic process. As two dual cases in the family of ideal values, the center of gravity of imputation set value and the equal allocation of nonseparable costs value are raised from new axiomatic angles.
Year
DOI
Venue
2019
10.1007/s10957-018-1259-8
Journal of Optimization Theory and Applications
Keywords
Field
DocType
Game theory,m-Individual expected reward,The family of ideal values,Dynamic process,CIS and EANS values,91A12
Least squares,Mathematical optimization,Axiom,Linearity,Game theory,Selfishness,Imputation (statistics),Mathematics,Center of gravity,Rate of return
Journal
Volume
Issue
ISSN
180.0
3.0
1573-2878
Citations 
PageRank 
References 
5
0.52
8
Authors
4
Name
Order
Citations
PageRank
Wenna Wang150.52
Hao Sun23110.18
René Van Den Brink318727.06
Genjiu Xu4307.31