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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA)
Lei, J. & Menezes, R. (2019). Fairness evaluation method of resource allocation based on BPSO multidimensional perspective. Cluster Computing. 22 (2), 4283-4290
Exportar Referência (IEEE)
J. Lei and R. M. Menezes,  "Fairness evaluation method of resource allocation based on BPSO multidimensional perspective", in Cluster Computing, vol. 22, no. 2, pp. 4283-4290, 2019
Exportar BibTeX
@article{lei2019_1714729036218,
	author = "Lei, J. and Menezes, R.",
	title = "Fairness evaluation method of resource allocation based on BPSO multidimensional perspective",
	journal = "Cluster Computing",
	year = "2019",
	volume = "22",
	number = "2",
	doi = "10.1007/s10586-018-1862-3",
	pages = "4283-4290",
	url = "https://link.springer.com/article/10.1007%2Fs10586-018-1862-3"
}
Exportar RIS
TY  - JOUR
TI  - Fairness evaluation method of resource allocation based on BPSO multidimensional perspective
T2  - Cluster Computing
VL  - 22
IS  - 2
AU  - Lei, J.
AU  - Menezes, R.
PY  - 2019
SP  - 4283-4290
SN  - 1386-7857
DO  - 10.1007/s10586-018-1862-3
UR  - https://link.springer.com/article/10.1007%2Fs10586-018-1862-3
AB  - 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.
ER  -