Fuzzy Time Series
Time Series Forecasting Using Fuzzy Time Series With Hedge Algebras Approach
... From the empirical results in the list, applying the second type gives the better forecasting accuracy rate than others. Thus, recent researches focus on the second method. There have been many methods of partitioning ...
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Modified weighted for enrollment forecasting based on fuzzy time series
... decade, fuzzy time series has been widely used for forecasting data of dynamic and non-linear data in ...used fuzzy time series such as enrollment [1-3, 12, 15, 17, 22, 23, 26], ...
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Fuzzy Time Series Method for Forecasting Taiwan Export Data
... using fuzzy time series to deal with forecasting problem can overcome this ...on fuzzy theory, Song and Chissom (1993a, b, 1994), construct the one factor fuzzy time ...the ...
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Fuzzy Time Series based method for Wheat production Forecasting
... Present study provides some modified techniques for time series based forecasting for the yield of any crop year. Our study can help in inventory management of wheat yield and for management of storage ...
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An Improved Adaptive Time-Variant Model for Fuzzy-Time-Series Forecasting Enrollments based on Particle Swarm Optimization
... of time series data, a series of data ordered in time sequence segmented by fixed time intervals [1], is an interesting and important research ...Traditional time series ...
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Forecasting the Number of Muslim Pilgrims Using Fuzzy Time Series
... problem, fuzzy time series models [3, 4, 5, 1, 6, 7] have been developed an applied in ...first time series model was introduced by Song-Chisson ...then, fuzzy time ...
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A Particle Swarm Intelligence Based Fuzzy Time Series Forecasting Model
... factor fuzzy time series'. Here we can implement any of the fuzzy membership function to define the fuzzy time series in above ...Using fuzzy composition rules, we ...
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FORECASTING USING NEURAL NETWORK AND FUZZY TIME SERIES: A RELATIVE STUDY USING SUGAR PRODUCTION DATA
... of fuzzy time series of forecasting sugar production ..., time series forecasting that have varied variations is an important ...of fuzzy set theory and uses various models of ...
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Preliminary Theory of Set SDR of Fuzzy Time Series Forecasting Model
... many fuzzy time series forecasting models have studied the forecasting problem for registration number of University of ...of Fuzzy time series forecasting model and proves Any ...
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Forecasting Model For Enrolment Combining Weighted Fuzzy Time Series And Fourier Series Transform
... Fuzzy time series procedures, which have attracted the attention of many researchers in recent years, have a quite wide area of use, such as information technology, economy, environmental sciences ...
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A Forecasting Model Based On Combining Automatic Clustering Technique And Fuzzy Time Series
... [16] Wang, N.-Y, & Chen, S.-M. Temperature prediction and TAIFEX forecasting based on automatic clustering techniques and two-factors high-order fuzzy time series. Expert Systems with ...
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Prediction using Sugar production data : Neural and Fuzzy time series
... of fuzzy time series in miscellaneous crop production forecast is to support the enlargement of DSS in agricultural production system, a real life problem comes in the group having unpredictability ...
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Preliminary Theory of Set DR of Fuzzy Time Series Forecasting Model
... existing fuzzy time series forecasting model prediction accuracy is not high, this paper proposes the fuzzy time series forecasting model based on differential collection of ...a ...
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The Cortisol Awakening Response for Using Fuzzy Time Series and Genetic Algorithms
... Abstract- A growing body of data suggests that a significantly enhanced salivary cortisol response to waking may indicate an enduring tendency to abnormal cortisol regulation. More methods have been proposed to deal with ...
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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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A Modified Approach on Fuzzy Time Series Forecasting
... any fuzzy number in to a symmetric trapezoidal fuzzy number by using metric ...every fuzzy set is converted to a real number, we generally lose too much important ...trapezoidal fuzzy number ...
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Comparison Of Fuzzy Time Series And ARIMA Model
... Abstract—Crude Oil price, deregulated commodity, which plays a vital criterion in the global economy. Government of India give permission to Oil Companies to revise the price of fuel daily based on the change of ...
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A Comparative Simulation Study of ARIMA and Fuzzy Time Series Model for Forecasting Time Series Data
... 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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Hedge Algebra Approach for Fuzzy Time series To Improve Result Of Time Series Forecasting.
... Fuzzy time series was first introduced by Song and Chissom [1], it is considered as the set of linguistic values that is observed by the ...conventional time series are quantitative ...
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Improved models in fuzzy time series for forecasting
... in time series area of study ...using Fuzzy Time Series in several applications, far too little attention has been paid to propose an appropriate data pre-processing whereby FTS ...
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