Employing a Fuzzy-Based Grey Modeling Procedure to Forecast China's Sulfur Dioxide Emissions.

Chang, Che-Jung; Li, Guiping; Zhang, Shao-Qing; Yu, Kun-Peng

Chang, Che-Jung; Li, Guiping; Zhang, Shao-Qing; Yu, Kun-Peng.

Afiliación

Chang CJ; TSL Business School, Quanzhou Normal University, No. 398, Donghai Street, Quanzhou 362000, China.
Li G; Fujian University Engineering Research Center of Cloud Computing, Internet of Things and E-Commerce Intelligence, No. 398, Donghai Street, Quanzhou 362000, China.
Zhang SQ; Department of Management Science and Engineering, Business School, Ningbo University, No. 818, Fenghua Road, Ningbo 315211, China.
Yu KP; TSL Business School, Quanzhou Normal University, No. 398, Donghai Street, Quanzhou 362000, China. zhangshaoq123@126.com.

Int J Environ Res Public Health ; 16(14)2019 07 13.

Article en En | MEDLINE | ID: mdl-31337030

Asunto(s)

Contaminantes Atmosféricos/análisis; Lógica Difusa; Dióxido de Azufre/análisis; China; Predicción; Modelos Teóricos

Palabras clave

Grey system theory; emission; forecasting; small-data-set; sulfur dioxide

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Dióxido de Azufre / Lógica Difusa / Contaminantes Atmosféricos Tipo de estudio: Prognostic_studies País/Región como asunto: Asia Idioma: En Revista: Int J Environ Res Public Health Año: 2019 Tipo del documento: Article País de afiliación: China

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