Decision Model for QoS in Networking Based on Hierarchical Aggregation of Information

Maikel Yelandi Leyva Vazquez, Miguel Angel Quiroz Martinez, Josseline Haylis Diaz Sanchez, Jorge Luis Aguilera Balseca

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

Abstract

One of the main objectives for Quality of Service (QoS) processes in computer networks is to establish the priority of the network services used within an organization in a given situation. Given the anticipation of a new scenario, an evaluation group must make an assessment in order to establish the set of network service priorities according to their level of importance for the new scenario. The process of assigning priorities to network services generally involves subjectivity and uncertainty, so the use of linguistic labels is appropriate for their assessment. A group of aggregation operators have been proposed in the literature. The existing models don’t provide enough flexibility and adaptability to the specific contexts of the organizations. This paper proposes a decision-making method that makes use of the aggregation operators in a hierarchical way using the model of the 2-linguistic tuples to prioritize services. The proposal allows the inclusion of aspects such as the criteria importance and simultaneity. A case study shows the applicability of the proposal. The article ends with proposals for future work that contribute to the increase of the applicability of the method.

Original languageEnglish
Title of host publicationAdvances in Artificial Intelligence, Software and Systems Engineering - Proceedings of the AHFE 2020 Virtual Conferences on Software and Systems Engineering, and Artificial Intelligence and Social Computing
EditorsTareq Ahram
PublisherSpringer
Pages361-368
Number of pages8
ISBN (Print)9783030513276
DOIs
StatePublished - 2021
EventAHFE Virtual Conferences on Software and Systems Engineering, and Artificial Intelligence and Social Computing, 2020 - San Diego, United States
Duration: 16 Jul 202020 Jul 2020

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1213 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

ConferenceAHFE Virtual Conferences on Software and Systems Engineering, and Artificial Intelligence and Social Computing, 2020
Country/TerritoryUnited States
CitySan Diego
Period16/07/2020/07/20

Bibliographical note

Funding Information:
Authors want to thank the Grupo de Investigaci?n en Inteligencia Artificial y Reconocimiento Facial (GIIAR) and to the Universidad Polit?cnica Salesiana for supporting this research.

Publisher Copyright:
© 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.

Keywords

  • 2-tuple linguistic model
  • Aggregation operators
  • Quality of Service
  • WPM

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