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A COMPARISON OF FUZZY TIME SERIES AND LEAST-SQUARE METHOD IN FORECASTING STUDENTS’ ENROLMENT
... Enrolment forecasting, which provides information for decision making and budget planning, is impor- tant in many ways to higher ...many forecasting methods to improve ...algorithm, least ... See full document
12
A Segment Length And Weight Optimized Fuzzy Time Series For Cloud Load Prediction
... workload forecasting model for is presented in [17], and validated against the regression model, which shows that the recurrent neural network has much better short term forecasting ...the ... See full document
9
Comparison of Season Index Method and Fuzzy Time Series to Predict Inflation in Indonesia
... Many forecasting methods are often used such as linear regression, double exponential smoothing, moving average, season index and others make a decision maker or a modeling faced with problems related to which ... See full document
7
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 ... See full document
13
A Forecasting Model Based On K-means Clustering And Time-invariant Fuzzy Relationship Groups
... hybrid forecasting method (named FRGs-KM) in the first-order fuzzy time series model based on the time-invariant fuzzy logical relationship groups and K-means clustering ... See full document
7
Comparison Of Fuzzy Time Series And ARIMA Model
... their forecasting model. Song and Chissom[4]proposedmamadani’s method to compute fuzzy relation and compare the difference between the traditional time series and fuzzy ... See full document
5
Developing defuzzifying method of fuzzy time-variant series for forecasting product demand
... which method has better accuracy. ARIMA method is selected to be compared with the proposed method because of its robustness and dealing with demand fluctuation over time (Wang, ...cover ... See full document
24
A Computational Method for Rice Production Forecasting Based on High-Order Fuzzy Time Series
... of fuzzy time series forecasting emerged as the time variant models by application of the high-order methods in the fuzzy time series ...the forecasting ... See full document
13
A Particle Swarm Intelligence Based Fuzzy Time Series Forecasting Model
... multivariate fuzzy time series forecasting ...This method assumes five-factors with one main factor of ...new method is applied in forecasting total number of car ... See full document
6
Forecasting Model For Enrolment Combining Weighted Fuzzy Time Series And Fourier Series Transform
... From Table 7, we can see that the proposed method by modifying Fourier series with number of interval is seven which has a smaller MSE value of 8.57 and MAPE value of 0.0175% than SCI model [2], the C96 ... See full document
6
A strategy for forecasting option price using fuzzy time series and least square support vector regression with a bootstrap model
... for forecasting option price has become a popular nancial topic because options are important tools on risk management in nancial ...a Fuzzy Time Series (FTS) model, a Least ... See full document
11
Hedge Algebra Approach for Fuzzy Time series To Improve Result Of Time Series Forecasting.
... proposed method is an improvement of the method already in [15], so it has advantages over the methods of the previously published authors, we briefly recall : We compare our approach with the method ... See full document
11
A Comparative Simulation Study of ARIMA and Fuzzy Time Series Model for Forecasting Time Series Data
... or time consuming to gather and it involves generating data set by specific statistical model or using random ...and Fuzzy Time Series (FTS) model in order to identify the best model for ... See full document
8
SMOKE DETECTION BASED ON IMAGE PROCESSING BY USING GREY AND TRANSPARENCY FEATURES
... a time series is determined by using ACF and PACF function of the fuzzified ...based method is ...the fuzzy logical relationships. Ten time series data sets are considered for ... See full document
12
A New Hybrid Fuzzy Time Series Forecasting Model Combined the Time -Variant Fuzzy Logical Relationship Groups with Particle Swam Optimization
... the fuzzy logical relationship groups and forecasted rule are ...From forecasting results in Table 12, it is clear that the PSO algorithm is more efficiently than the GA algorithm in achieving the ... See full document
15
COMPARISON OF LEAST MEDIAN SQUARE AND ORDINARY LEAST SQUARE METHODS IN THE PRESENCE OF OUTLIERS
... ordinary least square performs better than other regression ...ordinary least square breaks ...ordinary least squares (OLS) and least median squares (LMS) estimators by ... See full document
10
GBP/USD Currency Exchange Rate Time Series Forecasting Using Regularized Least-Squares Regression Method
... Regularized Least-squares Regression (RLSR）is a technique originally from Statistical Learning (SL) ...to time series forecasting and the resulted model is termed RLS-TS model getting the idea ... See full document
6
Applications of Least Mean Square (LMS) Algorithm Regression in Time Series Analysis
... Applications of Least Mean Square LMS Algorithm Regression in Time-Series Analysis Giovanis, Eleftherios.[r] ... See full document
24
Forecasting the Number of Muslim Pilgrims Using Fuzzy Time Series
... and forecasting the number of pilgrims in order to determine the size and quality of expansions and maintenance needed in the two holy mosques in Makkah and Medina and to avoid any mistakes or disasters that may ... See full document
7
A Hybrid Method of Least Square Support Vector Machine and Bacterial Foraging Optimization Algorithm for Medium Term Electricity Price Forecasting
... price forecasting were designed by previous researchers such as regression models [7], generalized least squares model with auto-correlated residuals [8] and Autoregressive Moving Average Exogenous (ARMAX) ... See full document
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