Abstract
The article analyzes models and approaches for storing and processing fuzzy temporal information, considers mathematical solutions and computational algorithms for executing complex-structured requests for processing fuzzy temporal data. Mathematical, algorithmic and software implementation of the PTDM possibilistic-temporal data model, generation of methods for processing fuzzy-temporal interaction between time points and/or intervals along with the implementation of the corresponding procedures and functions is provided. The results of a comparative analysis and formalization of the of the PTDM model discriminator in comparison to other approaches to storing and processing fuzzytemporal data are presented.
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