Imputation of Time Series Based on Fuzzy Logic

compute.ed | Euclidean distance (ED) |

compute.fa2 | FA2 |

compute.fb | Fractional Bias (FB) |

compute.fsd | Fraction of Standard Deviation (FSD) |

compute.rmse | Root Mean Square Error (RMSE) |

compute.sim | Similarity |

create.Myfis | Building a fuzzy inference system |

Creating_gaps | Creating gaps in multivariate time series |

Creating_gap_univariate | Creating a gap in a univariate series |

dataFSMUMI | An example of a multivariate times series having three... |

evalfis | FIS evaluation |

fbsm | Global threshold for missing data imputation |

Finding_fuzzy_based_global_threshold | Global threshold based on fuzzy-weighted similarity threshold |

Finding_fuzzy_based_similar_windows | Finding the similar windows using based on fuzzy-weighted... |

FSMUMImputation | Imputing large gaps based on the new fuzzy-weighted... |

FSMUMI-package | Imputation of Time Series Based on Fuzzy Logic |

imp_1NA | Completing isolated missing points (1NA) |

imp_small_gaps_WMA | Completing small gaps that their sizes belong to... |

Indexes_size_missing | Indexes and sizes of gaps |

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