AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |
Back to Blog
Fuzzytime junction4/17/2023 ![]() ![]() The performance of the ATVF model is tested using both simulated and actual time series including the enrollments at the University of Alabama, Tuscaloosa, and the Taiwan Stock Exchange Capitalization Weighted Stock Index (TAIEX). The proposed model automatically adapts the analysis window size of fuzzy time series based on the prediction accuracy in the training phase and uses heuristic rules to generate forecasting values in the testing phase. In this paper, an adaptive time-variant fuzzy-time-series forecasting model (ATVF) is proposed to improve forecasting accuracy. These studies use fixed analysis window sizes for forecasting. Related studies mainly focus on three factors, namely, the partition of discourse, the content of forecasting rules, and the methods of defuzzification, all of which greatly influence the prediction accuracy of forecasting models. Wong, Wai-Keung Bai, Enjian Chu, Alice Wai-ChingĪ fuzzy time series has been applied to the prediction of enrollment, temperature, stock indices, and other domains. To evaluate the model, the conventional linear regression technique is applied and the predicted values obtained are compared to the…Īdaptive time-variant models for fuzzy-time-series forecasting. Fuzzy time series, an aspect of fuzzy set theory, forecasts enrollment using a first-order time-invariant model. The concept of fuzzy time series is introduced and used to forecast the enrollment of a university. Forecasting Enrollments with Fuzzy Time Series. ![]()
0 Comments
Read More
Leave a Reply. |