东南大学学报（自然科学版）2016，Vol.18Issue(3)：505-512,8.DOI:10.3969/j.issn.1001-0505.2016.03.009
高阶多元直觉模糊时间序列预测模型
High-order multi-variable intuitionistic fuzzy time series forecasting model
摘要
Abstract
In order to break the limitation of fuzzy set theory and objectively describe the uncertain data,a high-order multi-variable intuitionistic fuzzy time series forecasting model is proposed.A fuzzy clustering algorithm is adopted to partition the universe of discourse,and a more objective method is used to establish the membership and non-membership functions of intuitionistic fuzzy sets.According to the principle of multidimensional intuitionistic fuzzy modus ponens reasoning,a heuristic similarity-based reasoning technique is proposed as the forecasting rule of the high-order multi-variable forecasting model,and a corresponding defuzzification method is presented.Contrast experiments on the daily mean temperature of Beijing were carried out.Experimental results show that the root mean square error (0.86)and the average forecasting error (2.57%)of the proposed model both obviously decreased.Therefore,the forecasting performance of the model is better than that of the fuzzy time series forecasting models and the normal intuitionistic fuzzy time series forecas-ting models.关键词
高阶/多元/直觉模糊时间序列/直觉模糊多维取式推理Key words
high-order/multi-variables/intuitionistic fuzzy time series/multidimensional intuition-istic fuzzy modus ponens reasoning分类
信息技术与安全科学引用本文复制引用
王亚男,雷英杰,雷阳,范晓诗..高阶多元直觉模糊时间序列预测模型[J].东南大学学报（自然科学版）,2016,18(3):505-512,8.基金项目
国家社科基金项目“中国特色少年司法制度研究”（10BFX047）阶段性成果。 （）
