A Novel System on Efficient Matching, Decision Making and Distributing
Siyuan Liu, Yu Liu, Chao Liu, Chunzhe Zhao, Yiming Luo, Gaojin Wen
Abstract
Open-access reader
Siyuan Liu, Yu Liu, Chao Liu, Chunzhe Zhao, Yiming Luo, Gaojin Wen
Abstract
Open-access reader
The object matching and distribution problem is a traditional challenge in different kinds of networks, such as kidney distribution networks. Applying differential element analysis methods, decision tree, integer linear programming the-ory and stochastic processes ideas, we propose models for the objects matching, the distribu-tion network, the exchange system and the in-dividual decision-making strategy, and thor-oughly analyze the relationship between the matching rate and the waiting time, and their impacts on the efficiency of the donor-matching process. And as the experiments, we evaluate the algorithms and system by kidney matching, decision making and distribution problems on real world data.
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The object matching and distribution problem is a traditional challenge in different kinds of networks, such as kidney distribution networks. Applying differential element analysis methods, decision tree, integer linear programming the-ory and stochastic processes ideas, we propose models for the objects matching, the distribu-tion network, the exchange system and the in-dividual decision-making strategy, and thor-oughly analyze the relationship between the matching rate and the waiting time, and their impacts on the efficiency of the donor-matching process. And as the experiments, we evaluate the algorithms and system by kidney matching, decision making and distribution problems on real world data.
Key concepts: Matching (statistics), Computer science, Decision tree, Object (grammar), Integer programming, Process (computing), Linear programming, Mathematical optimization