In order to improve the effectiveness of fairness evaluation algorithm for public health resources, a kind of fairness evaluation method for public health resources based on BPSO dimension reduction under multi-perspective was proposed in the thesis. Firstly, data sources and research methods for fairness evaluation of public health resources was introduced; computational steps of Lorenz index were given; then, in order to reduce the complexity of data processing, particle swarm optimization was used to implement dimension reduction processing for software failure data; character string (0 or 1) of binary system was used to show particle position so as to realize simplification of data processing. Finally, effectiveness of methods mentioned in the thesis is verified in the positive analysis of fairness evaluation for regional distribution of health resources in Shaoguan city, Guangdong province.

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Dimension reduction,Fairness,Multi-perspective,Particle swarm optimization algorithm,Public health resources

• Ciências da Computação e da Informação - Ciências Naturais