{"title":"ANALYSIS OF THE PTDM POSSIBILISTIC-TEMPORAL DATA MODEL DISCRIMINATOR IN COMPARISON WITH OTHER FUZZY TEMPORAL INFORMATION STORAGE AND PROCESSING MODELS","authors":"","doi":"10.18469/ikt.2022.20.2.01","DOIUrl":null,"url":null,"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.","PeriodicalId":245247,"journal":{"name":"Infokommunikacionnye tehnologii","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Infokommunikacionnye tehnologii","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18469/ikt.2022.20.2.01","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.