Technology Selection of Indoor Location Systems Using Interval Valued Type-2 Intuitionistic Fuzzy WASPAS

Basar Oztaysi*, Sezi Cevik Onar, Cengiz Kahraman

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

As mobile devices are, highly adopted, indoor location tracking systems started to emerge. Companies can use these indoor location-tracking systems to better understand their customers and get an insight into their intentions and needs. In this paper, different indoor location tracking systems are evaluated. Since there are various evaluation perspectives, the problem is defined as a multi-criteria decision-making (MCDM) problem, and a decision model containing ten criteria, and five alternatives are formed. In this study, we use Interval Valued Type-2 Intuitionistic Fuzzy WASPAS method to solve the problem.

Original languageEnglish
Title of host publicationIntelligent and Fuzzy Techniques
Subtitle of host publicationSmart and Innovative Solutions - Proceedings of the INFUS 2020 Conference
EditorsCengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, Selcuk Cebi, A. Cagri Tolga
PublisherSpringer
Pages494-502
Number of pages9
ISBN (Print)9783030511555
DOIs
Publication statusPublished - 2021
EventInternational Conference on Intelligent and Fuzzy Systems, INFUS 2020 - Istanbul, Turkey
Duration: 21 Jul 202023 Jul 2020

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1197 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

ConferenceInternational Conference on Intelligent and Fuzzy Systems, INFUS 2020
Country/TerritoryTurkey
CityIstanbul
Period21/07/2023/07/20

Bibliographical note

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

Keywords

  • Indoor location systems
  • Type-2 Intuitionistic Fuzzy
  • WASPAS

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