[PDF] Top 20 A Particle Swarm Intelligence Based Fuzzy Time Series Forecasting Model
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A Particle Swarm Intelligence Based Fuzzy Time Series Forecasting Model
... each particle and its neighbors while they fly through the search ...some particle is identified as the best particle in a neighborhood of particles, based on its ...this particle, but ... See full document
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Algorithms for Data-Driven Business Intelligence with Applications to Revenue Optimization and Financial Forecasting.
... (ARMA) model, which combines a moving average with a linear difference ...(ARIMA) model [ 26 ] , was proposed under the assumption of linearity between ...conventional time series methods only ... See full document
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A Comparative Simulation Study of ARIMA and Fuzzy Time Series Model for Forecasting Time Series Data
... the forecasting enrollments from the derived ...Chen’s model to improve forecasting, since Chen’s model is easy to calculate, straightforward to integrate heuristic knowledge, and could ... See full document
8
A Proposed Model For Forecasting Stock Markets Based On Clustering Algorithm And Fuzzy Time Series
... the forecasting effectiveness of the proposed model with the high-order FTS and different numbers of intervals ...our model will be compared with the existing methods, such as the C96 [3] ... See full document
6
A Hybrid Tourism Demand Forecasting Model Based on Fuzzy Times Series
... studies, time series model has been the most common method and fuzzy time series model is an improvement on time series ...in fuzzy time ... See full document
7
Preliminary Theory of Set SDR of Fuzzy Time Series Forecasting Model
... forecast model of time series forecasting is in constant innovation, new methods are constantly ...introduced fuzzy set theory into time series prediction problem and ... See full document
5
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 ...for forecasting used fuzzy time series such as enrollment ... See full document
12
A Hybrid Forecasting Model Based On Automatic Clustering Algorithm And Fuzzy Time Series
... the time-invariant FTS and the time-variant FTS model which use the max–min operations to forecast the enrolments of the University of ...FTS model by introducing a more efficient arithmetic ... See full document
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A Forecasting Model Based On Combining Automatic Clustering Technique And Fuzzy Time Series
... TAIFEX forecasting based on automatic clustering techniques and two-factors high-order fuzzy time ...for forecasting enrollments based on fuzzy time series ... See full document
6
SMOKE DETECTION BASED ON IMAGE PROCESSING BY USING GREY AND TRANSPARENCY FEATURES
... the forecasting accuracy or to reduce computational ...first time addressed that the determination of effective length of interval in Step 1 affects the forecasting accuracy significantly and ... See full document
12
Design of a Fuzzy Time Series Forecasting Model for Hydro Power Generation
... the model is of first order fuzzy time series ...many forecasting models based on the concepts of fuzzy time series have been ...etc. Time ... See full document
5
A Modified Approach on Fuzzy Time Series Forecasting
... different time series models have been designed and ...uncertain forecasting based on uncertain observed ...trapezoidal fuzzy numbers are used to further enhance the forecasting ... See full document
11
I/O MATCH (I/O MAT) AND BEHAVIORAL MATCH (BEH MAT) BASED SEMANTIC WEB SERVICE DISCOVERY
... clusters. Fuzzy c-means (FCM) algorithm is easily trapped in local optimal ...Factor Particle Swarm Optimization (cfPSO) algorithm is a popular swarm intelligence technique and applied ... See full document
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Vol 8, No 8 (2018)
... creating forecasting rules are two important issues considered to be serious influencing the forecasting accuracy and applied to different ...for forecasting of other historical data and not rice ... See full document
10
Forecasting Model For Enrolment Combining Weighted Fuzzy Time Series And Fourier Series Transform
... handle forecasting enrolments of the University of Alabama based on which combines the weighted fuzzy time series and Fourier series ...in fuzzy time series ... See full document
6
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 ... See full document
5
Preliminary Theory of Set DR of Fuzzy Time Series Forecasting Model
... of time series forecasting model SD ( ...of time series forecasting model SD ( ) is called set of fuzzy time series forecasting ... See full document
5
TOURISM DEMAND FORECASTING USING A NOVEL HIGH-PRECISION FUZZY TIME SERIES MODEL. Ruey-Chyn Tsaur and Ting-Chun Kuo
... Fourier series. Theoretically, if the collected time series data is limited, then each data is equally important for forecasting ...fitted forecasting model is based on ... See full document
7
A Two Phase Algorithm for Fuzzy Time Series Forecasting using Genetic Algorithm and Particle Swarm Optimization Techniques
... and fuzzy set Aj whose maximum membership value occurs at interval uj, then the value of the main-factor of day i is fuzzified into Aj, where 1 j 16 ...kth-order fuzzy time series ... See full document
7
A New Hybrid Fuzzy Time Series Forecasting Model Combined the Time -Variant Fuzzy Logical Relationship Groups with Particle Swam Optimization
... proposed model shows better forecasted accuracy than previous forecasting ones with the value MSE is 5396 which is smallest among all the compared models, where the HPSO model [14], AFPSO ... See full document
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