Fuzzy Temporal Graphs and Sequence Modelling in Scheduling Problem

Margarita Knyazeva, Alexander Bozhenyuk, Uzay Kaymak

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationInformation Processing and Management of Uncertainty in Knowledge-Based Systems - 18th International Conference, IPMU 2020, Proceedings
EditorsMarie-Jeanne Lesot, Susana Vieira, Marek Z. Reformat, João Paulo Carvalho, Anna Wilbik, Bernadette Bouchon-Meunier, Ronald R. Yager
Place of PublicationCham
PublisherSpringer
Pages539-550
Number of pages12
ISBN (Electronic)978-3-030-50153-2
ISBN (Print)978-3-030-50152-5
DOIs
Publication statusPublished - 2020
Event18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2020 - Lisbon, Portugal
Duration: 15 Jun 202019 Jun 2020

Publication series

NameCommunications in Computer and Information Science
Volume1239 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2020
CountryPortugal
CityLisbon
Period15/06/2019/06/20

Keywords

  • Computational graph
  • Fuzzy graph
  • Fuzzy sequence modelling
  • Fuzzy temporal intervals
  • State-transition system
  • Temporal reasoning

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