Prioritizing Facility Location Selection Criteria Using Proportional Spherical Fuzzy AHP Method

Cengiz Kahraman; Sezi Onar; Selcuk Cebi; Basar Oztaysi

doi:10.1007/978-3-031-70018-7_81

Prioritizing Facility Location Selection Criteria Using Proportional Spherical Fuzzy AHP Method

Cengiz Kahraman^*, Sezi Onar, Selcuk Cebi, Basar Oztaysi

^*Bu çalışma için yazışmadan sorumlu yazar

Endüstri Mühendisliği Bölümü

Yildiz Technical University

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

Özet

We use the extended proportional spherical fuzzy (SF) analytic hierarchy method (AHP) method in the prioritization of the considered criteria in a facility location selection problem. A problem with the extensions of ordinary fuzzy sets is that they require decimal numbers for membership, non-membership and indecision degrees of an element from the experts, which cannot be easily determined. The proportional fuzzy sets ease this process and make it more correct. Location of raw materials, proximity to markets, labor factors, community considerations, and availability of utilities are the considered criteria of the location selection problem. The proposed PSF AHP could determine the weights more consistently and efficiently than the existing fuzzy AHP approaches.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Intelligent and Fuzzy Systems - Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference
Editörler	Cengiz Kahraman, Sezi Cevik Onar, Selcuk Cebi, Basar Oztaysi, Irem Ucal Sari, A. Cagrı Tolga
Yayınlayan	Springer Science and Business Media Deutschland GmbH
Sayfalar	735-744
Sayfa sayısı	10
ISBN (Basılı)	9783031700170
DOI'lar	https://doi.org/10.1007/978-3-031-70018-7_81
Yayın durumu	Yayınlandı - 2024
Etkinlik	International Conference on Intelligent and Fuzzy Systems, INFUS 2024 - Canakkale, Turkey Süre: 16 Tem 2024 → 18 Tem 2024

Yayın serisi

Adı	Lecture Notes in Networks and Systems
Hacim	1088 LNNS
ISSN (Basılı)	2367-3370
ISSN (Elektronik)	2367-3389

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

???event.eventtypes.event.conference???	International Conference on Intelligent and Fuzzy Systems, INFUS 2024
Ülke/Bölge	Turkey
Şehir	Canakkale
Periyot	16/07/24 → 18/07/24

Bibliyografik not

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

Belgeye Erişim

10.1007/978-3-031-70018-7_81

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Kahraman, C., Onar, S., Cebi, S., & Oztaysi, B. (2024). Prioritizing Facility Location Selection Criteria Using Proportional Spherical Fuzzy AHP Method. In C. Kahraman, S. Cevik Onar, S. Cebi, B. Oztaysi, I. Ucal Sari, & A. C. Tolga (Eds.), Intelligent and Fuzzy Systems - Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference (pp. 735-744). (Lecture Notes in Networks and Systems; Hac. 1088 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-70018-7_81

Kahraman, Cengiz ; Onar, Sezi ; Cebi, Selcuk et al. / Prioritizing Facility Location Selection Criteria Using Proportional Spherical Fuzzy AHP Method. Intelligent and Fuzzy Systems - Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference. editör / Cengiz Kahraman ; Sezi Cevik Onar ; Selcuk Cebi ; Basar Oztaysi ; Irem Ucal Sari ; A. Cagrı Tolga. Springer Science and Business Media Deutschland GmbH, 2024. pp. 735-744 (Lecture Notes in Networks and Systems).

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title = "Prioritizing Facility Location Selection Criteria Using Proportional Spherical Fuzzy AHP Method",

abstract = "We use the extended proportional spherical fuzzy (SF) analytic hierarchy method (AHP) method in the prioritization of the considered criteria in a facility location selection problem. A problem with the extensions of ordinary fuzzy sets is that they require decimal numbers for membership, non-membership and indecision degrees of an element from the experts, which cannot be easily determined. The proportional fuzzy sets ease this process and make it more correct. Location of raw materials, proximity to markets, labor factors, community considerations, and availability of utilities are the considered criteria of the location selection problem. The proposed PSF AHP could determine the weights more consistently and efficiently than the existing fuzzy AHP approaches.",

keywords = "AHP, Spherical fuzzy sets, proportional fuzzy sets",

author = "Cengiz Kahraman and Sezi Onar and Selcuk Cebi and Basar Oztaysi",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.; International Conference on Intelligent and Fuzzy Systems, INFUS 2024 ; Conference date: 16-07-2024 Through 18-07-2024",

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doi = "10.1007/978-3-031-70018-7_81",

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Kahraman, C , Onar, S, Cebi, S & Oztaysi, B 2024, Prioritizing Facility Location Selection Criteria Using Proportional Spherical Fuzzy AHP Method. in C Kahraman, S Cevik Onar, S Cebi, B Oztaysi, I Ucal Sari & AC Tolga (eds), Intelligent and Fuzzy Systems - Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference. Lecture Notes in Networks and Systems, hac. 1088 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 735-744, International Conference on Intelligent and Fuzzy Systems, INFUS 2024, Canakkale, Turkey, 16/07/24. https://doi.org/10.1007/978-3-031-70018-7_81

Prioritizing Facility Location Selection Criteria Using Proportional Spherical Fuzzy AHP Method. / Kahraman, Cengiz ; Onar, Sezi; Cebi, Selcuk et al.
Intelligent and Fuzzy Systems - Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference. ed. / Cengiz Kahraman; Sezi Cevik Onar; Selcuk Cebi; Basar Oztaysi; Irem Ucal Sari; A. Cagrı Tolga. Springer Science and Business Media Deutschland GmbH, 2024. p. 735-744 (Lecture Notes in Networks and Systems; Hac. 1088 LNNS).

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

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AU - Kahraman, Cengiz

AU - Onar, Sezi

AU - Cebi, Selcuk

AU - Oztaysi, Basar

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

PY - 2024

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N2 - We use the extended proportional spherical fuzzy (SF) analytic hierarchy method (AHP) method in the prioritization of the considered criteria in a facility location selection problem. A problem with the extensions of ordinary fuzzy sets is that they require decimal numbers for membership, non-membership and indecision degrees of an element from the experts, which cannot be easily determined. The proportional fuzzy sets ease this process and make it more correct. Location of raw materials, proximity to markets, labor factors, community considerations, and availability of utilities are the considered criteria of the location selection problem. The proposed PSF AHP could determine the weights more consistently and efficiently than the existing fuzzy AHP approaches.

AB - We use the extended proportional spherical fuzzy (SF) analytic hierarchy method (AHP) method in the prioritization of the considered criteria in a facility location selection problem. A problem with the extensions of ordinary fuzzy sets is that they require decimal numbers for membership, non-membership and indecision degrees of an element from the experts, which cannot be easily determined. The proportional fuzzy sets ease this process and make it more correct. Location of raw materials, proximity to markets, labor factors, community considerations, and availability of utilities are the considered criteria of the location selection problem. The proposed PSF AHP could determine the weights more consistently and efficiently than the existing fuzzy AHP approaches.

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T3 - Lecture Notes in Networks and Systems

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BT - Intelligent and Fuzzy Systems - Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference

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A2 - Cevik Onar, Sezi

A2 - Cebi, Selcuk

A2 - Oztaysi, Basar

A2 - Ucal Sari, Irem

A2 - Tolga, A. Cagrı

PB - Springer Science and Business Media Deutschland GmbH

T2 - International Conference on Intelligent and Fuzzy Systems, INFUS 2024

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ER -

Kahraman C , Onar S, Cebi S, Oztaysi B. Prioritizing Facility Location Selection Criteria Using Proportional Spherical Fuzzy AHP Method. In Kahraman C, Cevik Onar S, Cebi S, Oztaysi B, Ucal Sari I, Tolga AC, editörler, Intelligent and Fuzzy Systems - Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference. Springer Science and Business Media Deutschland GmbH. 2024. p. 735-744. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-031-70018-7_81

Prioritizing Facility Location Selection Criteria Using Proportional Spherical Fuzzy AHP Method

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