@inproceedings{ea355db7903143db8f12d494279523ee,
title = "Fuzzy Temporal Graphs and Sequence Modelling in Scheduling Problem",
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.",
keywords = "Computational graph, Fuzzy graph, Fuzzy sequence modelling, Fuzzy temporal intervals, State-transition system, Temporal reasoning",
author = "Margarita Knyazeva and Alexander Bozhenyuk and Uzay Kaymak",
year = "2020",
doi = "10.1007/978-3-030-50153-2_40",
language = "English",
isbn = "978-3-030-50152-5",
series = "Communications in Computer and Information Science",
publisher = "Springer",
pages = "539--550",
editor = "Marie-Jeanne Lesot and Susana Vieira and Reformat, {Marek Z.} and Carvalho, {Jo{\~a}o Paulo} and Anna Wilbik and Bernadette Bouchon-Meunier and Yager, {Ronald R.}",
booktitle = "Information Processing and Management of Uncertainty in Knowledge-Based Systems - 18th International Conference, IPMU 2020, Proceedings",
address = "Germany",
note = "18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2020 ; Conference date: 15-06-2020 Through 19-06-2020",
}