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high-order fuzzy time series

A Computational Method for Rice Production Forecasting Based on High-Order Fuzzy Time Series

A Computational Method for Rice Production Forecasting Based on High-Order Fuzzy Time Series

... on high-order fuzzy logical relationships in the fuzzy time ...various high orders forecasting to remove the computational drawback of the existing high-order ...

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A Hybrid Forecasting Model Based On Automatic Clustering Algorithm And Fuzzy Time Series

A Hybrid Forecasting Model Based On Automatic Clustering Algorithm And Fuzzy Time Series

... used fuzzy time series to handle prediction ...on fuzzy time series, it is obvious that the length of intervals in the universe of discourse is important because it can affect ...

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... High order fuzzy time series forecasting methods are more suitable than first order fuzzy time series forecasting methods in dealing with linguistic ...

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A Comparative Simulation Study of ARIMA and Fuzzy Time Series Model for Forecasting Time Series Data

A Comparative Simulation Study of ARIMA and Fuzzy Time Series Model for Forecasting Time Series Data

... two-factor high-order fuzzy time series and historical data, proposed two- factor high-order fuzzy logical relationships to increase the forecasting accuracy ...

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A Forecasting Model Based On Combining Automatic Clustering Technique And Fuzzy Time Series

A Forecasting Model Based On Combining Automatic Clustering Technique And Fuzzy Time Series

... Abstract—Most fuzzy forecasting methods are based on modelling fuzzy logical relationships according to the past ...approaches, fuzzy logical relationship groups and clustering technique, is ...

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Forecasting Model For Enrolment Combining Weighted Fuzzy Time Series And Fourier Series Transform

Forecasting Model For Enrolment Combining Weighted Fuzzy Time Series And Fourier Series Transform

... the time-invariant FTS and the time-variant FTS model which use the max–min operations to forecast the enrolments of the University of ...for fuzzy forecasting by integrating Chen’s fuzzy ...

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A New Hybrid Fuzzy Time Series Forecasting Model Combined the Time -Variant Fuzzy Logical Relationship Groups with Particle Swam Optimization

A New Hybrid Fuzzy Time Series Forecasting Model Combined the Time -Variant Fuzzy Logical Relationship Groups with Particle Swam Optimization

... Abstract Fuzzy time series forecasting models are used to overcome traditional time series methods when the historical data of traditional time series approaches contain ...

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SMOKE DETECTION BASED ON IMAGE PROCESSING BY USING GREY AND TRANSPARENCY 
FEATURES

SMOKE DETECTION BASED ON IMAGE PROCESSING BY USING GREY AND TRANSPARENCY FEATURES

... Time series data principally involves four major components which are trend, cyclical, seasonal and irregular, that reflects the characteristics of the ...from time series components will ...

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Design of a Fuzzy Time Series Forecasting Model for Hydro Power Generation

Design of a Fuzzy Time Series Forecasting Model for Hydro Power Generation

... Traditional Time Series Method (ARIMA model and Vector ARMA model) and Fuzzy Time Series Method (Two-factor model, Heuristic model, and Markov model) for the forecasting ...of ...

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Improved models in fuzzy time series for forecasting

Improved models in fuzzy time series for forecasting

... Aladag, C. H., Basaran, M. A., Egrioglu, E., Yolcu, U. and Uslu, V. R. (2009). Forecasting in high order fuzzy times series by using neural networks to define fuzzy relations. Expert ...

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Article Forecasting Based on High-Order Fuzzy-Fluctuation Trends and Particle Swarm Optimization Machine Learning Jingyuan Jia 1, Aiwu Zhao 1, * and Shuang Guan 2

Article Forecasting Based on High-Order Fuzzy-Fluctuation Trends and Particle Swarm Optimization Machine Learning Jingyuan Jia 1, Aiwu Zhao 1, * and Shuang Guan 2

... existing fuzzy forecasting models partition historical training time series into fuzzy time series and build fuzzy-trend logical relationship groups to generate ...

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SMOKE DETECTION BASED ON IMAGE PROCESSING BY USING GREY AND TRANSPARENCY 
FEATURES

SMOKE DETECTION BASED ON IMAGE PROCESSING BY USING GREY AND TRANSPARENCY FEATURES

... on fuzzy time series forecasting (TSF) and several studies indicating superior performance, an appropriate computationally efficient method have not been developed to predict various time ...

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Vol 10, No 1 (2018)

Vol 10, No 1 (2018)

... the time series and the fuzzy logic for online detecting ...the Time Series Evolving Fuzzy Engine ...new fuzzy engine to detect anomalies in networks by inspecting the ...

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Vol 7, No 2 (2016)

Vol 7, No 2 (2016)

... and fuzzy logic was first introduced by Zadeh (1965). Fuzzy time series originally proposed by Song and Chissom [1] to forecast student enrollment at the University of ...the fuzzy ...

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Identifying higher order interactions in wave time series

Identifying higher order interactions in wave time series

... third order cumulant of the time-series, and can be thought of as an extension of the power spectrum (itself the frequency-domain representation of the second order ...

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Fuzzy Logic Classification Approach for Prediction of Patient Data in Health Care System using Data Mining Analysis

Fuzzy Logic Classification Approach for Prediction of Patient Data in Health Care System using Data Mining Analysis

... values. Fuzzy regression strategies have been used to develop preferences models that correlate the engineering characteristics with shopper preferences relating to a replacement product; the patron preference ...

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Artificial Intelligence Applied to Project Success: A Literature Review

Artificial Intelligence Applied to Project Success: A Literature Review

... The author uses data collected for his thesis [48] and analyses them with neural networks in order to get a mapping between managerial elements of project management and project management performance. The final ...

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A Modified Approach on Fuzzy Time Series Forecasting

A Modified Approach on Fuzzy Time Series Forecasting

... A fuzzy time series Markov chain model with an application to forecast the exchange rate between the Taiwan and US dollar, International Journal of Innovative Computing Information and Control, 8, ...

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The order of defuzzification for intuitionistic fuzzy dematel method

The order of defuzzification for intuitionistic fuzzy dematel method

... intuitionistic fuzzy number (TIFN) has increased the existing computational complexity due to the defuzzification process that took place in the last step of their decision making ...intuitionistic fuzzy ...

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Time Series Seasonal Analysis Based on Fuzzy Transforms

Time Series Seasonal Analysis Based on Fuzzy Transforms

... Here we give a forecasting method based on F-transforms for seasonal time series analysis. 87[r] ...

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