Finding_fuzzy_based_global_threshold

<p>Find the global threshold using Fuzzy Logic Theory to impute large missing data in univariate time series.</p>

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Filling large gaps in low or uncorrelated multivariate time series uses a new fuzzy weighted similarity measure. It contains all required functions to create large missing consecutive values within time series and then fill these gaps, according to the paper Phan et al. (2018), <DOI:10.1155/2018/9095683>. Performance indicators are also provided to compare similarity between two univariate signals (incomplete signal and imputed signal).

Thi Hong Phan

Finding_fuzzy_based_global_threshold: Global threshold based on fuzzy-weighted similarity threshold

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