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.

Afiliação

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 em En | MEDLINE | ID: mdl-31337030

Assuntos

Poluentes Atmosféricos/análise; Lógica Fuzzy; Dióxido de Enxofre/análise; China; Previsões; Modelos Teóricos

Palavras-chave

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

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Dióxido de Enxofre / Lógica Fuzzy / Poluentes Atmosféricos Tipo de estudo: Prognostic_studies País/Região como assunto: Asia Idioma: En Ano de publicação: 2019 Tipo de documento: Article

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