Mathematical and Software for Building the Rating of the Largest IaaS Suppliers by the Threshold Aggregation Method; Lecture Notes in Electrical Engineering (LNEE); Vol. 986 : Advances in Automation IV

Mathematical and Software for Building the Rating of the Largest IaaS Suppliers by the Threshold Aggregation Method; Lecture Notes in Electrical Engineering (LNEE); Vol. 986 : Advances in Automation IV

Bibliographic Details
Parent link:Lecture Notes in Electrical Engineering (LNEE)
Vol. 986 : Advances in Automation IV.— 2023.— [P. 2-11]
Main Author: Razumnikov S. V. Sergey Viktorovich
Corporate Author: Национальный исследовательский Томский политехнический университет Юргинский технологический институт
Summary:Title screen
When making decisions about the choice of any alternative, it is necessary to find out which of the options under consideration will be better. The article presents a non-compensatory aggregation model for building ratings, which is based on the threshold aggregation rule. This method avoids compensating low scores for alternatives with higher scores. A scheme of evaluation stages for this model is proposed, and the software “Formation of an aggregate rating” has been developed. The non-compensatory aggregation model was programmed in C# in Visual Studio 2019. Based on the developed program, a rating of the largest IaaS providers was built, according to which you can choose the best option for an enterprise when using cloud services.
Режим доступа: по договору с организацией-держателем ресурса
Language:English
Published: 2023
Subjects:
электронный ресурс
труды учёных ТПУ
cloud services
providers
IaaS
rating
threshold aggregation
model
program
облачные сервисы
провайдер
рейтинг
программы
Online Access:https://doi.org/10.1007/978-3-031-22311-2_1
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=669348

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