LR-Type Z Fuzzy Numbers and Their Usage in MCDM Problems

Cengiz Kahraman; Sezi Cevik Onar; Basar Öztaysi

doi:10.1007/978-3-031-39774-5_41

LR-Type Z Fuzzy Numbers and Their Usage in MCDM Problems

Cengiz Kahraman^*
, Sezi Cevik Onar
, Basar Öztaysi

^*Bu çalışma için yazışmadan sorumlu yazar

Endüstri Mühendisliği Bölümü

Araştırma çıktısı: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › Hakem

Özet

Z fuzzy numbers are given by a restriction function and a reliability function to better define an ordinary fuzzy number. In this paper we propose LR fuzzy numbers in the definition of z-fuzzy numbers. Besides, the new extensions of ordinary fuzzy sets are used in the development of LR-type Z fuzzy numbers such as intuitionistic fuzzy LR type Z-numbers. The proposed new numbers are planned to be employed in multi-criteria decision making problems such as LR type Z-fuzzy TOPSIS or intuitionistic fuzzy LR type VIKOR methods. The paper is concluded by limitations and future research suggestions.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference
Editörler	Cengiz Kahraman, Irem Ucal Sari, Basar Oztaysi, Sezi Cevik Onar, Selcuk Cebi, A. Çağrı Tolga
Yayınlayan	Springer Science and Business Media Deutschland GmbH
Sayfalar	346-353
Sayfa sayısı	8
ISBN (Basılı)	9783031397738
DOI'lar	https://doi.org/10.1007/978-3-031-39774-5_41
Yayın durumu	Yayınlandı - 2023
Etkinlik	Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference - Istanbul, Türkiye Süre: 22 Ağu 2023 → 24 Ağu 2023

Yayın serisi

Adı	Lecture Notes in Networks and Systems
Hacim	758 LNNS
ISSN (Basılı)	2367-3370
ISSN (Elektronik)	2367-3389

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

???event.eventtypes.event.conference???	Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference
Ülke/Bölge	Türkiye
Şehir	Istanbul
Periyot	22/08/23 → 24/08/23

Bibliyografik not

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Belgeye Erişim

10.1007/978-3-031-39774-5_41

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Kahraman, C., Onar, S. C., & Öztaysi, B. (2023). LR-Type Z Fuzzy Numbers and Their Usage in MCDM Problems. In C. Kahraman, I. U. Sari, B. Oztaysi, S. Cevik Onar, S. Cebi, & A. Ç. Tolga (Eds.), Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference (pp. 346-353). (Lecture Notes in Networks and Systems; Hac. 758 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-39774-5_41

Kahraman, Cengiz ; Onar, Sezi Cevik ; Öztaysi, Basar. / LR-Type Z Fuzzy Numbers and Their Usage in MCDM Problems. Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference. editör / Cengiz Kahraman ; Irem Ucal Sari ; Basar Oztaysi ; Sezi Cevik Onar ; Selcuk Cebi ; A. Çağrı Tolga. Springer Science and Business Media Deutschland GmbH, 2023. pp. 346-353 (Lecture Notes in Networks and Systems).

@inproceedings{f7b83fc5fd9c4289b5d90fd4948bb4da,

title = "LR-Type Z Fuzzy Numbers and Their Usage in MCDM Problems",

abstract = "Z fuzzy numbers are given by a restriction function and a reliability function to better define an ordinary fuzzy number. In this paper we propose LR fuzzy numbers in the definition of z-fuzzy numbers. Besides, the new extensions of ordinary fuzzy sets are used in the development of LR-type Z fuzzy numbers such as intuitionistic fuzzy LR type Z-numbers. The proposed new numbers are planned to be employed in multi-criteria decision making problems such as LR type Z-fuzzy TOPSIS or intuitionistic fuzzy LR type VIKOR methods. The paper is concluded by limitations and future research suggestions.",

keywords = "LR-fuzzy numbers, MCDM, z-fuzzy numbers",

author = "Cengiz Kahraman and Onar, \{Sezi Cevik\} and Basar {\"O}ztaysi",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference ; Conference date: 22-08-2023 Through 24-08-2023",

year = "2023",

doi = "10.1007/978-3-031-39774-5\_41",

language = "English",

isbn = "9783031397738",

series = "Lecture Notes in Networks and Systems",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "346--353",

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

booktitle = "Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference",

address = "Germany",

}

Kahraman, C, Onar, SC & Öztaysi, B 2023, LR-Type Z Fuzzy Numbers and Their Usage in MCDM Problems. in C Kahraman, IU Sari, B Oztaysi, S Cevik Onar, S Cebi & AÇ Tolga (eds), Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference. Lecture Notes in Networks and Systems, hac. 758 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 346-353, Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference, Istanbul, Türkiye, 22/08/23. https://doi.org/10.1007/978-3-031-39774-5_41

LR-Type Z Fuzzy Numbers and Their Usage in MCDM Problems. / Kahraman, Cengiz; Onar, Sezi Cevik; Öztaysi, Basar.
Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference. ed. / Cengiz Kahraman; Irem Ucal Sari; Basar Oztaysi; Sezi Cevik Onar; Selcuk Cebi; A. Çağrı Tolga. Springer Science and Business Media Deutschland GmbH, 2023. p. 346-353 (Lecture Notes in Networks and Systems; Hac. 758 LNNS).

Araştırma çıktısı: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › Hakem

TY - GEN

T1 - LR-Type Z Fuzzy Numbers and Their Usage in MCDM Problems

AU - Kahraman, Cengiz

AU - Onar, Sezi Cevik

AU - Öztaysi, Basar

PY - 2023

Y1 - 2023

N2 - Z fuzzy numbers are given by a restriction function and a reliability function to better define an ordinary fuzzy number. In this paper we propose LR fuzzy numbers in the definition of z-fuzzy numbers. Besides, the new extensions of ordinary fuzzy sets are used in the development of LR-type Z fuzzy numbers such as intuitionistic fuzzy LR type Z-numbers. The proposed new numbers are planned to be employed in multi-criteria decision making problems such as LR type Z-fuzzy TOPSIS or intuitionistic fuzzy LR type VIKOR methods. The paper is concluded by limitations and future research suggestions.

AB - Z fuzzy numbers are given by a restriction function and a reliability function to better define an ordinary fuzzy number. In this paper we propose LR fuzzy numbers in the definition of z-fuzzy numbers. Besides, the new extensions of ordinary fuzzy sets are used in the development of LR-type Z fuzzy numbers such as intuitionistic fuzzy LR type Z-numbers. The proposed new numbers are planned to be employed in multi-criteria decision making problems such as LR type Z-fuzzy TOPSIS or intuitionistic fuzzy LR type VIKOR methods. The paper is concluded by limitations and future research suggestions.

KW - LR-fuzzy numbers

KW - MCDM

KW - z-fuzzy numbers

UR - https://www.scopus.com/pages/publications/85171981450

U2 - 10.1007/978-3-031-39774-5_41

DO - 10.1007/978-3-031-39774-5_41

M3 - Conference contribution

AN - SCOPUS:85171981450

SN - 9783031397738

T3 - Lecture Notes in Networks and Systems

SP - 346

EP - 353

BT - Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference

A2 - Kahraman, Cengiz

A2 - Sari, Irem Ucal

A2 - Oztaysi, Basar

A2 - Cevik Onar, Sezi

A2 - Cebi, Selcuk

A2 - Tolga, A. Çağrı

PB - Springer Science and Business Media Deutschland GmbH

T2 - Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference

Y2 - 22 August 2023 through 24 August 2023

ER -

Kahraman C, Onar SC, Öztaysi B. LR-Type Z Fuzzy Numbers and Their Usage in MCDM Problems. In Kahraman C, Sari IU, Oztaysi B, Cevik Onar S, Cebi S, Tolga AÇ, editörler, Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference. Springer Science and Business Media Deutschland GmbH. 2023. p. 346-353. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-031-39774-5_41

LR-Type Z Fuzzy Numbers and Their Usage in MCDM Problems

Özet

Yayın serisi

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

Bibliyografik not

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap