The estimate of the spectral density function, as well as the properties of the resulting estimator, the periodogram, are discussed in this chapter. For actual and anticipated observations of the fuzzy time series, the statistical features of this periodogram are explored. MSEs, which are based on these statistical features, can be used to compare the periodogram results in both scenarios. For this, a programme was developed that converts observed time series into fuzzy time series with huge sizes.
Study Goal: To enhance the estimate of the spectral density function while maintaining its statistical features using the fuzzy time series technique.
Abd El-Moneim A. M. Teamah
Mathematics Department, Faculty of Science, Tanta University, Tanta, Egypt.
Hasnaa M. Faied
Mathematics Department, Faculty of Science, A1-Azhar University (Girls), Nasr-City, Cairo, Egypt.
Mohammed H. El-Menshawy
Mathematics Department, Faculty of Science, A1-Azhar University (Men), Nasr-City, Cairo, Egypt.
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