A Novel System on Efficient Matching, Decision Making and Distributing

Si-Yuan Liu, Yu Liu, Chao Liu, Chun-Zhe Zhao, Yi-Ming Luo, Gao-Jin Wen

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DOI: 10.4236/health.2009.11010                

Abstract

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.

Keywords

Biological System Modeling; Computer Aided Analysis; Computer Aided Software Engineering; Decision-Making

Conflicts of Interest

The authors declare no conflicts of interest.

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