Title :
Chemical oxygen demand production coefficient forecasting in dyeing enterprise: An application of the ranking interval number method
Author :
Yang, Yi ; Zheng, Tao ; Xin Lin ; Wan, Faping
Author_Institution :
Coll. of Inf. Sci. & Technol., Donghua Univ., Shanghai, China
Abstract :
The ranking interval number method is adopted for chemical oxygen demand production coefficient forecasting. It could be added to the fuzzy Bayes analysis model. The forecasting model is present. It could make Bayes risk decision making more practical. Financial factor of dyeing enterprise combining with COD experimental setting is adopted for COD forecasting. The standard and extension chemical oxygen demand production coefficient of dyeing enterprise are forecasted by this method. The forecasting results show good performance for decision support.
Keywords :
Bayes methods; decision making; dyeing; forecasting theory; fuzzy set theory; oxygen; risk analysis; Bayes risk decision making; COD experimental setting; COD forecasting; chemical oxygen demand production coefficient forecasting; dyeing enterprise; financial factor; fuzzy Bayes analysis model; ranking interval number method; Analytical models; Data models; Decision support systems; Forecasting; Mathematical model; Predictive models; Production; Bayes model; chemical oxygen demand production coefficient; dyeing enterprise; forecasting; ranking interval number;
Conference_Titel :
Environmental Science and Information Application Technology (ESIAT), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7387-8
DOI :
10.1109/ESIAT.2010.5568910
