Fuzzy Temporal Graphs and Sequence Modelling in Scheduling Problem

Processing sequential data and time-dependent data is a problem of constructing computational graph with a certain structure. A computational graph formalizes the structure of a set of computations including mapping temporal inputs and outputs. In this paper we apply graph theory and fuzzy interval...

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Autores principales: Knyazeva, Margarita, Bozhenyuk, Alexander, Kaymak, Uzay
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7274722/
http://dx.doi.org/10.1007/978-3-030-50153-2_40
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author Knyazeva, Margarita
Bozhenyuk, Alexander
Kaymak, Uzay
author_facet Knyazeva, Margarita
Bozhenyuk, Alexander
Kaymak, Uzay
author_sort Knyazeva, Margarita
collection PubMed
description Processing sequential data and time-dependent data is a problem of constructing computational graph with a certain structure. A computational graph formalizes the structure of a set of computations including mapping temporal inputs and outputs. In this paper we apply graph theory and fuzzy interval representation of uncertain variables to indicate states of the temporal scheduling system. Descriptive model for temporal reasoning on graph, sequence modelling and ordering of fuzzy inputs for scheduling problem is introduced.
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spelling pubmed-72747222020-06-08 Fuzzy Temporal Graphs and Sequence Modelling in Scheduling Problem Knyazeva, Margarita Bozhenyuk, Alexander Kaymak, Uzay Information Processing and Management of Uncertainty in Knowledge-Based Systems Article Processing sequential data and time-dependent data is a problem of constructing computational graph with a certain structure. A computational graph formalizes the structure of a set of computations including mapping temporal inputs and outputs. In this paper we apply graph theory and fuzzy interval representation of uncertain variables to indicate states of the temporal scheduling system. Descriptive model for temporal reasoning on graph, sequence modelling and ordering of fuzzy inputs for scheduling problem is introduced. 2020-05-16 /pmc/articles/PMC7274722/ http://dx.doi.org/10.1007/978-3-030-50153-2_40 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Knyazeva, Margarita
Bozhenyuk, Alexander
Kaymak, Uzay
Fuzzy Temporal Graphs and Sequence Modelling in Scheduling Problem
title Fuzzy Temporal Graphs and Sequence Modelling in Scheduling Problem
title_full Fuzzy Temporal Graphs and Sequence Modelling in Scheduling Problem
title_fullStr Fuzzy Temporal Graphs and Sequence Modelling in Scheduling Problem
title_full_unstemmed Fuzzy Temporal Graphs and Sequence Modelling in Scheduling Problem
title_short Fuzzy Temporal Graphs and Sequence Modelling in Scheduling Problem
title_sort fuzzy temporal graphs and sequence modelling in scheduling problem
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7274722/
http://dx.doi.org/10.1007/978-3-030-50153-2_40
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AT bozhenyukalexander fuzzytemporalgraphsandsequencemodellinginschedulingproblem
AT kaymakuzay fuzzytemporalgraphsandsequencemodellinginschedulingproblem

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