Prediction of stock index futures prices based on fuzzy sets and multivariate fuzzy time series

BQ Sun, H Guo, HR Karimi, Y Ge, S **ong - Neurocomputing, 2015 - Elsevier
This paper makes a prediction of Chinese stock index (CSI) future prices using fuzzy sets
and multivariate fuzzy time series method. We select Chinese CSI 300 index futures as the …

A High-Order Heuristic Fuzzy Time Series Forecasting Model Based on Hedge Algebras Approach

DNT Thu, LV Chernenkaya - 2023 International Russian …, 2023 - ieeexplore.ieee.org
Nowadays, forecasting models are increasingly being developed and studied a lot to serve
various areas of science and public life. One of all is fuzzy time series forecasting models …

[PDF][PDF] A Markov-fuzzy combination model for stock market forecasting

DX Ky, LT Tuyen - Int. J. Appl. Math. Stat, 2016 - researchgate.net
This paper presents a simple combination of Markov model and fuzzy time series model
(called MC-fuzzy) for forecasting stock market data. The fuzzy time series model is used to …

Peramalan Produksi Gula Pasir Menggunakan Fuzzy Time Series Dengan Optimasi Algoritma Genetika (Studi Kasus PG Candi Baru Sidoarjo)

A Ridhwan, DE Ratnawati, B Rahayudi - … Teknologi Informasi dan Ilmu …, 2018 - j-ptiik.ub.ac.id
Perencanaan produksi dilakukan oleh PG Candi Baru Sidoarjo setiap tahunnya sebagai
bentuk upaya peningkatan kualitas seiring permintaan konsumen gula yang terus …

[PDF][PDF] Applying optimized mathematical algorithms to forecast stock price average accredited banks in Tehran STOCK EXCHANGE and Iran Fara Bourse

N Aghaeefar, ME Mohammad Pourzarandi… - Advances in …, 2019 - journals.iau.ir
The effective role of capital in every country flows through giving guidelines for capital and
resources, generalizing companies and sharing development projects with public, and also …

[HTML][HTML] МОДЕЛЬ ПРОГНОЗИРОВАНИЯ ЭВРИСТИЧЕСКИХ НЕЧЕТКИХ ВРЕМЕННЫХ РЯДОВ ВЫСОКОГО ПОРЯДКА, ОСНОВАННАЯ НА ХЕДЖ …

ЛВ Черненькая - Известия Тульского государственного …, 2023 - cyberleninka.ru
В данной статье представлены материалы дальнейшего исследования на основе
развития традиционной модели прогнозирования нечетких временных рядов. В статье …

[PDF][PDF] HYBRIDIZATION OF SCALED UNSCENTED KALMAN FILTER AND NARX NEURAL NETWORK FOR CHAOTIC TIME-SERIES FORECASTING

SJ ABDULKADIR, BS ISKANDAR - 2016 - researchgate.net
Forecasting of chaotic time-series has increasingly become a popular and challenging
subject. Non-linear models such as neural networks have been successfully applied in …

Développement et optimisation des stratégies de réponse à l'obsolescence via des modèles prédictifs

Y Grichi - 2020 - espace.etsmtl.ca
La popularité des appareils électroniques a incité la recherche à implémenter des
composants pouvant améliorer leurs performances et l'évolutivité. Au cours des dernières …

FORECASTING DATA PENUNGGAKAN PEMBAYARAN MENGGUNAKAN METODE FUZZY TIME SERIES DI PDAM KOTA MALANG

O Fransistio, DA Nugraha… - Semnas SENASTEK …, 2019 - conference.unikama.ac.id
Abstract Perusahaan Daerah Air Minum (PDAM) suatu perusahaan yang dikelola pada
setiap daerah di Indonesia guna menangani dan menyediakan kebutuhan air bersih untuk …

Peramalan Tingkat Produksi Gula Menggunakan Multi Factor Fuzzy Time Series yang Dioptimasi dengan Algoritme Genetika

BD Setiawan, AW Widodo - Jurnal Pengembangan Teknologi …, 2018 - j-ptiik.ub.ac.id
Gula merupakan salah satu komoditi strategis yang berpengaruh bagi perekonomian
Indonesia. Hal ini dikarenakan peranan gula sebagai salah satu bahan pokok yang banyak …