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

Basar Oztaysi; Sezi Cevik Onar; Cengiz Kahraman

doi:10.1007/978-3-030-51156-2_57

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

Basar Oztaysi^*, Sezi Cevik Onar, Cengiz Kahraman

^*Bu çalışma için yazışmadan sorumlu yazar

Endüstri Mühendisliği Bölümü

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

2 Atıf (Scopus)

Özet

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.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Intelligent and Fuzzy Techniques
Ana bilgisayar yayını alt yazısı	Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference
Editörler	Cengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, Selcuk Cebi, A. Cagri Tolga
Yayınlayan	Springer
Sayfalar	494-502
Sayfa sayısı	9
ISBN (Basılı)	9783030511555
DOI'lar	https://doi.org/10.1007/978-3-030-51156-2_57
Yayın durumu	Yayınlandı - 2021
Etkinlik	International Conference on Intelligent and Fuzzy Systems, INFUS 2020 - Istanbul, Turkey Süre: 21 Tem 2020 → 23 Tem 2020

Yayın serisi

Adı	Advances in Intelligent Systems and Computing
Hacim	1197 AISC
ISSN (Basılı)	2194-5357
ISSN (Elektronik)	2194-5365

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	International Conference on Intelligent and Fuzzy Systems, INFUS 2020
Ülke/Bölge	Turkey
Şehir	Istanbul
Periyot	21/07/20 → 23/07/20

Bibliyografik not

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

Belgeye Erişim

10.1007/978-3-030-51156-2_57

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Oztaysi, B., Onar, S. C., & Kahraman, C. (2021). Technology Selection of Indoor Location Systems Using Interval Valued Type-2 Intuitionistic Fuzzy WASPAS. In C. Kahraman, S. Cevik Onar, B. Oztaysi, I. U. Sari, S. Cebi, & A. C. Tolga (Eds.), Intelligent and Fuzzy Techniques: Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference (pp. 494-502). (Advances in Intelligent Systems and Computing; Hac. 1197 AISC). Springer. https://doi.org/10.1007/978-3-030-51156-2_57

Oztaysi, Basar ; Onar, Sezi Cevik ; Kahraman, Cengiz. / Technology Selection of Indoor Location Systems Using Interval Valued Type-2 Intuitionistic Fuzzy WASPAS. Intelligent and Fuzzy Techniques: Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference. editör / Cengiz Kahraman ; Sezi Cevik Onar ; Basar Oztaysi ; Irem Ucal Sari ; Selcuk Cebi ; A. Cagri Tolga. Springer, 2021. pp. 494-502 (Advances in Intelligent Systems and Computing).

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title = "Technology Selection of Indoor Location Systems Using Interval Valued Type-2 Intuitionistic Fuzzy WASPAS",

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.",

keywords = "Indoor location systems, Type-2 Intuitionistic Fuzzy, WASPAS",

author = "Basar Oztaysi and Onar, {Sezi Cevik} and Cengiz Kahraman",

note = "Publisher Copyright: {\textcopyright} 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.; International Conference on Intelligent and Fuzzy Systems, INFUS 2020 ; Conference date: 21-07-2020 Through 23-07-2020",

year = "2021",

doi = "10.1007/978-3-030-51156-2_57",

language = "English",

isbn = "9783030511555",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer",

pages = "494--502",

editor = "Cengiz Kahraman and {Cevik Onar}, Sezi and Basar Oztaysi and Sari, {Irem Ucal} and Selcuk Cebi and Tolga, {A. Cagri}",

booktitle = "Intelligent and Fuzzy Techniques",

address = "Germany",

}

Oztaysi, B , Onar, SC & Kahraman, C 2021, Technology Selection of Indoor Location Systems Using Interval Valued Type-2 Intuitionistic Fuzzy WASPAS. in C Kahraman, S Cevik Onar, B Oztaysi, IU Sari, S Cebi & AC Tolga (eds), Intelligent and Fuzzy Techniques: Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference. Advances in Intelligent Systems and Computing, hac. 1197 AISC, Springer, pp. 494-502, International Conference on Intelligent and Fuzzy Systems, INFUS 2020, Istanbul, Turkey, 21/07/20. https://doi.org/10.1007/978-3-030-51156-2_57

Technology Selection of Indoor Location Systems Using Interval Valued Type-2 Intuitionistic Fuzzy WASPAS. / Oztaysi, Basar ; Onar, Sezi Cevik ; Kahraman, Cengiz.
Intelligent and Fuzzy Techniques: Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference. ed. / Cengiz Kahraman; Sezi Cevik Onar; Basar Oztaysi; Irem Ucal Sari; Selcuk Cebi; A. Cagri Tolga. Springer, 2021. p. 494-502 (Advances in Intelligent Systems and Computing; Hac. 1197 AISC).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - Technology Selection of Indoor Location Systems Using Interval Valued Type-2 Intuitionistic Fuzzy WASPAS

AU - Oztaysi, Basar

AU - Onar, Sezi Cevik

AU - Kahraman, Cengiz

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

KW - Indoor location systems

KW - Type-2 Intuitionistic Fuzzy

KW - WASPAS

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U2 - 10.1007/978-3-030-51156-2_57

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SN - 9783030511555

T3 - Advances in Intelligent Systems and Computing

SP - 494

EP - 502

BT - Intelligent and Fuzzy Techniques

A2 - Kahraman, Cengiz

A2 - Cevik Onar, Sezi

A2 - Oztaysi, Basar

A2 - Sari, Irem Ucal

A2 - Cebi, Selcuk

A2 - Tolga, A. Cagri

PB - Springer

T2 - International Conference on Intelligent and Fuzzy Systems, INFUS 2020

Y2 - 21 July 2020 through 23 July 2020

ER -

Oztaysi B , Onar SC , Kahraman C. Technology Selection of Indoor Location Systems Using Interval Valued Type-2 Intuitionistic Fuzzy WASPAS. In Kahraman C, Cevik Onar S, Oztaysi B, Sari IU, Cebi S, Tolga AC, editörler, Intelligent and Fuzzy Techniques: Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference. Springer. 2021. p. 494-502. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-51156-2_57

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

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Bibliyografik not

Belgeye Erişim

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