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Mixed-Order Fuzzy Time Series Forecast
MathematicsFuzzy time series forecasting has gained significant attention for its accuracy, robustness, and interpretability, making it widely applicable in practical prediction tasks.
Hao Wu, Haiming Long, Jiancheng Jiang
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Communications for Statistical Applications and Methods, 2008 본 논문은 시간의 흐름에 따라 일정한 간격으로 관측된 시계열자료에 대한 통계적인 관계를 추정하기 위하여 삼각퍼지수를 이용한 퍼지시계열모형을 소개한다. 모든 관측치를 포함하는 전체집합을 분할하는 구간을 자료의 빈도수에 따라 결정하고 연속되는 두 시점에서 퍼지수가 일치하는 경우에는 관측된 자료의 차에 대한 정보를 이용하여 제안된 퍼지시계열모형을 추정한다. 예제를 이용하여 제안된 퍼지시계열모형의 정확성을 일반적인 시계열모형과 여러 가지 방법으로 추정된 퍼지시계열모형과 비교한다.
Hye-Young Jung, Seung-Hoe Choi
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Application of Cheng’s Fuzzy Time Series in World Crude Oil Price Prediction [PDF]
E3S Web of ConferencesFuzzy time series is a new concept that can be used to predict an event using historical data. Historical data is processed using the principles and logic of fuzzy sets. The aim of this study is to predict world oil prices.
Patria Lintang
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Peramalan Harga Minyak Mentah Dunia Menggunakan Metode Fuzzy Time Series Logika Singh
Jurnal Matematika UNANDMinyak mentah merupakan komoditas dan sumber energi yang sangat dibutuhkan bagi pertumbuhan suatu negara. Harga minyak mentah mengalami peningkatan dan penurunan. Naiknya harga minyak mentah akan mempengaruhi perekonomian dan pasar keuangan.
Sahroni Hasibuan +2 more
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BarekengThe Fuzzy Time Series (FTS) was first studied by Song and Chissom based on the theory of fuzzy sets and the concept of linguistic variables and their applications discovered by Zadeh. FTS has several models, namely FTS Lee, FTS Tsaur, and so on.
Septri Damayanti +4 more
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Modeling the Context of the Problem Domain of Time Series with Type-2 Fuzzy Sets
Mathematics, 2021 Data analysis in the context of the features of the problem domain and the dynamics of processes are significant in various industries. Uncertainty modeling based on fuzzy logic allows building approximators for solving a large class of problems. In some
Anton A. Romanov +4 more
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Fuzzy Autoregressive Model With an Application [PDF]
المجلة العراقية للعلوم الاحصائية, 2009 The research is dedicated in the study to time series and the ability of using fuzzy logic with it in order to develop forecasting approaches. In this research ,the time series (Autoregressive model) are linked with fuzzy logic in order to get on the ...
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Arthritis Care &Research, EarlyView.Objective Sjögren's disease is an autoimmune disorder that can impact multiple organ systems, including the peripheral nervous system (PNS). PNS manifestations, which can exist concurrently, include mononeuropathies, polyneuropathies, and autonomic nervous system neuropathies.
Anahita Deboo +88 more
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Fuzzy inference-based LSTM for long-term time series prediction
Scientific Reports, 2023 Long short-term memory (LSTM) based time series forecasting methods suffer from multiple limitations, such as accumulated error, diminishing temporal correlation, and lacking interpretability, which compromises the prediction performance.
Weina Wang +2 more
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Seasonal Time Series Forecasting by F1-Fuzzy Transform [PDF]
Sensors, 2019 We present a new seasonal forecasting method based on F1-transform (fuzzy transform of order 1) applied on weather datasets. The objective of this research is to improve the performances of the fuzzy transform-based prediction method applied to seasonal time series.
Ferdinando Di Martino, Salvatore Sessa
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