Pub Med state lines prediction based on interval type-2 fuzzy set
As the fuzzy set is actually a precise constant function, it cant accurately describe the uncertainty of the language. While the determining of type-2 fuzzy set(T2FS) membership function is provided with a certain degree of freedom, which is convenient to facilitate the calculation. Meanwhile, the determination of the continuous primary membership function contains the uncertain influence caused by uncertainty. Therefore, predicting the postgraduate state lines intensity fluctuations based on interval type-2 fuzzy set is more accurate. In this article, covering the fluctuation range of state line by multiple words is completed, and fuzzy words are expressed by applying of interval type-2 fuzzy set. Using the image words computational methods of interval type-2 fuzzy sets fuzzy rules, ultimately the fluctuation in the size range of the state line is predicted.
Interval Type-2 Fuzzy Set Image word Fuzzy word Fluctuation range
Tan Dan Mo Hong Wu Zhanlin
College of Electric and Information, Changsha University of Science and Technology, Changsha 410114
国际会议
长沙
英文
5151-5155
2014-05-31（万方平台首次上网日期，不代表论文的发表时间）