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The benefits of social insurance system prediction using a hybrid fuzzy time series method
Ahmed Abdelreheem Khalil
, Mohamed Abdelaziz Mandour
,
Ahmed Ali
Computer Sciences
Central South University
Assiut University
Mansoura University
Research output
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Contribution to journal
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Article
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peer-review
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Mathematics
Series Method
100%
Fuzzy Time Series Forecasting
100%
Prediction Interval
100%
Time Series Model
28%
Probability of Coverage
28%
Predictive Model
14%
Performance Model
14%
Linear Regression Analysis
14%
Markov Chain
14%
Auto Regressive Integrated Moving Average
14%
Unbiased Statistic
14%
Computer Science
Social Insurance
100%
Prediction Interval
100%
Interval Length
28%
Superior Performance
14%
Decision-Making
14%
Predictive Model
14%
Performance Model
14%
Computational Complexity
14%
Traditional Model
14%
Markov Chain
14%
Financial Planning
14%
Exponential Smoothing
14%
forecasting accuracy
14%
Resulting Process
14%
Accurate Forecast
14%
Partition Tree
14%
Engineering
Applicability
100%
Metrics
100%
Computational Complexity
100%
Economics, Econometrics and Finance
Time Series
100%
Industry
25%
Smoothing Technique
25%