AMD:年龄相关性黄斑变性(age-related macular degeneration)ANOVA:方差分析(analysis of variance)BUT:泪膜破裂时间(breakup time of tear film)DR:糖尿病视网膜病变(diabetic retinopathy)EAU:实验性自身免疫性葡萄膜炎(experimental...AMD:年龄相关性黄斑变性(age-related macular degeneration)ANOVA:方差分析(analysis of variance)BUT:泪膜破裂时间(breakup time of tear film)DR:糖尿病视网膜病变(diabetic retinopathy)EAU:实验性自身免疫性葡萄膜炎(experimental autoimmune uveitis)。展开更多
Fuzzy sets theory cannot describe the neutrality degreeof data, which has largely limited the objectivity of fuzzy time seriesin uncertain data forecasting. With this regard, a multi-factor highorderintuitionistic fuz...Fuzzy sets theory cannot describe the neutrality degreeof data, which has largely limited the objectivity of fuzzy time seriesin uncertain data forecasting. With this regard, a multi-factor highorderintuitionistic fuzzy time series forecasting model is built. Inthe new model, a fuzzy clustering algorithm is used to get unequalintervals, and a more objective technique for ascertaining membershipand non-membership functions of the intuitionistic fuzzy setis proposed. On these bases, forecast rules based on multidimensionalintuitionistic fuzzy modus ponens inference are established.Finally, contrast experiments on the daily mean temperature ofBeijing are carried out, which show that the novel model has aclear advantage of improving the forecast accuracy.展开更多
文摘AMD:年龄相关性黄斑变性(age-related macular degeneration)ANOVA:方差分析(analysis of variance)BUT:泪膜破裂时间(breakup time of tear film)DR:糖尿病视网膜病变(diabetic retinopathy)EAU:实验性自身免疫性葡萄膜炎(experimental autoimmune uveitis)。
基金supported by the National Natural Science Foundation of China(61309022)
文摘Fuzzy sets theory cannot describe the neutrality degreeof data, which has largely limited the objectivity of fuzzy time seriesin uncertain data forecasting. With this regard, a multi-factor highorderintuitionistic fuzzy time series forecasting model is built. Inthe new model, a fuzzy clustering algorithm is used to get unequalintervals, and a more objective technique for ascertaining membershipand non-membership functions of the intuitionistic fuzzy setis proposed. On these bases, forecast rules based on multidimensionalintuitionistic fuzzy modus ponens inference are established.Finally, contrast experiments on the daily mean temperature ofBeijing are carried out, which show that the novel model has aclear advantage of improving the forecast accuracy.
