Using hedge algebras and particle swarm optimization algorithm to build fuzzy time series model for forecasting
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In this paper we combine Hedge Algebras (HA) with Particle swarm optimization (PSO) to build fuzzy time series model for forecasting time series. The time series need forecasting is converted into a fuzzy time series, HA is used to quantify the linguistic terms which are the values of the fuzzy time series.
Nội dung trích xuất từ tài liệu:
Using hedge algebras and particle swarm optimization algorithm to build fuzzy time series model for forecasting
Nội dung trích xuất từ tài liệu:
Using hedge algebras and particle swarm optimization algorithm to build fuzzy time series model for forecasting
Tìm kiếm theo từ khóa liên quan:
Forecasting time series Time series forecasting Hedge algebras Particle swarm optimization Fuzzy time seriesGợi ý tài liệu liên quan:
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