Scalable human knowledge about numeric time series variation and its role in improving forecasting results
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Instead of handling fuzzy sets associated with linguistic (L-) labels based on the developers’ intuition immediately, the study follows the hedge algebras (HA-) approach to the time series forecasting problems, in which the linguistic time series forecasting model was, for the first time, proposed and examined in 2020.
Nội dung trích xuất từ tài liệu:
Scalable human knowledge about numeric time series variation and its role in improving forecasting results
Nội dung trích xuất từ tài liệu:
Scalable human knowledge about numeric time series variation and its role in improving forecasting results
Tìm kiếm theo từ khóa liên quan:
Computer science and cybernetics Linguistic time series Linguistic logical relationship Hedge algebras Quantitative words semanticsGợi ý tài liệu liên quan:
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