The purpose of this paper is to present the results a systematic literature review regarding development fuzzy-based models for time series forecasting in period 2017–2021. study was conducted using well-established protocol and couple powerful tools bibliometric analysis know analyse main approaches adopted research field interest. We analysed 118 articles published peer-reviewed journals inde...

Peramalan jumlah curah hujan menjadi informasi yang sangat penting, karena dapat digunakan sebagai acuan dalam perencanaan diberbagai sektor seperti produksi pertanian, perkebunan, penerbangan, perikanan, dan sebagainya. Selain itu, peramalan juga bermanfaat untuk mendeteksi secara dini terhadap bencana terjadi akibat ektrim. Oleh perlu adanya jelas mengenai waktu/periode terjadinya hujan. Tuju...

Fuzzy time series have been developed during the last decade to improve the forecast accuracy. Many algorithms have been applied in this approach of forecasting such as high order time invariant fuzzy time series. In this paper, we present a hybrid algorithm to deal with the forecasting problem based on time variant fuzzy time series and particle swarm optimization algorithm, as a highly effici...