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Found 2 papers, 1 papers with code
Forecasting in Non-stationary Environments with Fuzzy Time Series
In this approach, we employ Non-Stationary Fuzzy Sets, in which perturbation functions are used to adapt the membership function parameters in the knowledge base in response to statistical changes in the time series.
Scalable and Customizable Benchmark Problems for Many-Objective Optimization
It is able to generate problems that reproduce features present in other benchmarks and also problems with some new features.
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