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has been cited by the following article:

• TITLE: A Novel System on Efficient Matching, Decision Making and Distributing

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

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

  JOURNAL NAME: Health, Vol.1 No.1, June 3, 2009

  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.