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Fuzzy time series Markov Chain and Fuzzy time series Chen & Hsu for forecasting
Journal of Physics: Conference Series, 2021 Abstract Fuzzy time series theory is a concept of artificial intelligence that can use to conduct forecasting technique.. This paper discusses the fuzzy logic concept to develop the base of the fuzzy time series with time invariant and time variant methods. There are several methods of fuzzy time series, including Markov Chain method and
null Zaenurrohman +2 more
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A FUZZY TIME SERIES-MARKOV CHAIN MODEL TO FORECAST FISH FARMING PRODUCT
Jurnal Ilmiah Kursor: Menuju Solusi Teknologi Informasi, 2018 Price is one of the important things that need to concern as defining factor of the profit or loss of product selling as the result of price fluctuations that are very difficult to control. Price fluctuations are caused by many factors including weather,
Bagus Dwi Saputra +2 more
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Peramalan Data IHSG Menggunakan Fuzzy Time Series
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2013 Abstrak Fuzzy time series merupakan salah satu metode soft computing yang telah digunakan dan diterapkan dalam analisis data runtun waktu. Tujuan utama dari fuzzy time series adalah untuk memprediksi data runtun waktu yang dapat digunakan secara luas ...
Seng Hansun
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Fuzzy Supervised Multi-Period Time Series Forecasting
Cybernetics and Information Technologies, 2019 The goal of this paper is to propose a new method for fuzzy forecasting of time series with supervised learning and k-order fuzzy relationships. In the training phase based on k previous historical periods, a multidimensional matrix of fuzzy dependencies
Ilieva Galina
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Peramalan Data Kunjungan Wisatawan Mancanegara ke Indonesia menggunakan Fuzzy Time Series
JEPIN (Jurnal Edukasi dan Penelitian Informatika), 2019 Wisatawan mancanegara memegang peranan penting terhadap pertumbuhan ekonomi dari sektor pariwisata. Untuk meningkatkan kunjungan wisatawan mancanegara perlu dilakukan pembangunan yang berkelanjutan pada sektor pariwisata. Pembangunan yang dilakukan harus
Indra Jiwana Thira +4 more
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Entropy, 2021 Multiscale entropy (MSE) analysis is a fundamental approach to access the complexity of a time series by estimating its information creation over a range of temporal scales. However, MSE may not be accurate or valid for short time series.
Airton Monte Serrat Borin +3 more
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An Exponential Autoregressive Time Series Model for Complex Data
Mathematics, 2023 In this paper, an exponential autoregressive model for complex time series data is presented. As for estimating the parameters of this nonlinear model, a three-step procedure based on quantile methods is proposed. This quantile-based estimation technique
Gholamreza Hesamian +3 more
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Using fuzzy time series with and without markov chain: to forecast of edible bird nest exported from Indonesia [PDF]
E3S Web of Conferences, 2022 Edible bird nest (EBN) were traditional medicine consumed by the Tiongkok. This study compared two-algorithm method. Fuzzy time series and Markov chain as forecast method the number of bird nest exported from Indonesia.
Sjofjan Osfar, Adli Danung Nur
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Comparative Economic Research, 2016 Fuzzy time series methods based on the fuzzy set theory proposed by Zadeh (1965) was first introduced by Song and Chissom (1993). Since fuzzy time series methods do not have the assumptions that traditional time series do and have effective forecasting ...
Ufuk Yolcu, Eren Bas
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Fuzzy information granules in time series data [PDF]
2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291), 2003 It is often desirable to summarize a set of time series through typical shapes in order to analyze them. The algorithm presented here compares pieces of different time series in order to find similar shapes. The use of a fuzzy clustering technique based on fuzzy c-means allows us to consider such subsets belonging to typical shapes with a degree of ...
Ortolani, Marco +4 more
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