Benefit Allocation Rules Of Mobile Payment Alliance Based On Cooperative Game

Nowadays,mutual cooperation in the mobile payment industry chain is the general trend.However,the mobile payment alliance has not been completely established.One of the reasons is that the benefit allocation rules of the alliance have not been established.Therefore,this thesis aims to help mobile payment alliance establish effective and fair benefit allocation rules.In order to depict the communication situations of mobile payment alliance in a more detailed way,we introduce in the concept of the generalized probabilistic commu-nication situations.In terms of the players:we regards the three participants of mobile payment alliance as the three players in the game.In the construction of the general-ized probabilistic graph:we divide those cooperation situations into six categories and construct six possible communication graphs,And then utilize the frequency table of co-operation cases among mobile payment alliance to determine the probability distribution defined on the set of all possible communication graphs.As for the allocation rule of the game,based on the generalized probabilistic Myerson value,we further introduce an effi-cient solution for games with generalized probabilistic graph structures,which solves the problem that the generalized probabilistic Myerson value does not satisfy the efficiency.Our research provides a more scientific and reasonable scheme for the fair and effec-tive allocation of the benfit,which is conducive to the development of mobile payment alliance.This thesis has two main innovations.The first one is discussing the study of mo-bile payment alliance's benefit allocation on the generalized probabilistic communication situations.which helps eliminate the disadvantage of those previous researches,here the disadvantage means these researches may not be applicable in the restricted coalition.Moreover,the generalized probability graph could reflect the diversity of cooperation situations,which is more realistic.The second one is introducing an efficient extension of the generalized probabilistic Myerson value,we show that this value can be characterized with three axioms,they are efficiency,fairness and FDSI.Moreover,we prove that these three axioms uniquely determine an efficient extension of the generalized probabilistic Myerson value.It shows that this thesis provides a more fair and effective allocation rule for mobile payment alliance.