Probabilistic Intuitionistic Fuzzy Set Based Intuitionistic Fuzzy Time Series Forecasting Method

被引:0
作者
Gupta, Krishna Kumar [1 ]
Kumar, Sanjay [1 ]
机构
[1] GB Pant Univ Agr & Technol, Dept Math Stat & Comp Sci, Pantnagar 263145, Uttarakhand, India
来源
MATHEMATICAL MODELLING AND SCIENTIFIC COMPUTING WITH APPLICATIONS, ICMMSC 2018 | 2020年 / 308卷
关键词
Probabilistic intuitionistic fuzzy set; Intuitionistic fuzzy logical relation; Stochastic non-determinism; Non-stochastic non-determinism; Forecasting; ENROLLMENTS; MODEL; SYSTEMS;
D O I
10.1007/978-981-15-1338-1_23
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
IFS can handle non-stochastic non-determinism that arises due to single membership function for both membership and non-membership grade. PIFS may handle non-determinacy because of both stochastic and non-stochastic reasons. In this study, we propose PIFS based FTS forecasting model to control the both kind of non-determinism along with non-stochastic uncertainty in TS forecasting. The developed model describes issue of non-determinism which rises due to both randomness as well as linguistic representation of TS data. An aggregation operator to aggregate the PIFS into IFS is also used in this study. The presented method has been simulated using financial TS data of TAIEX to confirm it's outperformance using RMSE.
引用
收藏
页码:315 / 324
页数:10
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