Evaluation of Energy Management Projects Using Pythagorean Fuzzy Z-Numbers

Irem Ucal Sari

doi:10.1007/978-3-031-67192-0_46

Evaluation of Energy Management Projects Using Pythagorean Fuzzy Z-Numbers

Irem Ucal Sari^*

^*Bu çalışma için yazışmadan sorumlu yazar

Endüstri Mühendisliği Bölümü

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

Özet

Energy management projects are predominantly recommended by external sources, such as Energy Service Companies, and this can lead to a significant variation in the reliability level of evaluations conducted by top management. Considering the potential absence of direct expertise among decision-makers in these projects, it becomes crucial to account for the reliability levels of their assessments during decision-making. This paper introduces the Pythagorean Fuzzy Z-Analytic Hierarchy Process methodology to account for the reliability levels of decision-makers’ judgments and applies it to weigh the selection criteria of energy management projects.

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	407-416
Sayfa sayısı	10
ISBN (Basılı)	9783031671913
DOI'lar	https://doi.org/10.1007/978-3-031-67192-0_46
Yayın durumu	Yayınlandı - 2024
Etkinlik	International Conference on Intelligent and Fuzzy Systems, INFUS 2024 - Canakkale, Türkiye Süre: 16 Tem 2024 → 18 Tem 2024

Yayın serisi

Adı	Lecture Notes in Networks and Systems
Hacim	1090 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	Türkiye
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.

BM SKH

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SKH 9 Sanayi, Yenilikçilik ve Altyapı

Belgeye Erişim

10.1007/978-3-031-67192-0_46

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Sari, I. U. (2024). Evaluation of Energy Management Projects Using Pythagorean Fuzzy Z-Numbers. 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. 407-416). (Lecture Notes in Networks and Systems; Hac. 1090 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-67192-0_46

Sari, Irem Ucal. / Evaluation of Energy Management Projects Using Pythagorean Fuzzy Z-Numbers. 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. 407-416 (Lecture Notes in Networks and Systems).

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title = "Evaluation of Energy Management Projects Using Pythagorean Fuzzy Z-Numbers",

abstract = "Energy management projects are predominantly recommended by external sources, such as Energy Service Companies, and this can lead to a significant variation in the reliability level of evaluations conducted by top management. Considering the potential absence of direct expertise among decision-makers in these projects, it becomes crucial to account for the reliability levels of their assessments during decision-making. This paper introduces the Pythagorean Fuzzy Z-Analytic Hierarchy Process methodology to account for the reliability levels of decision-makers{\textquoteright} judgments and applies it to weigh the selection criteria of energy management projects.",

keywords = "Energy Management, Pythagorean Fuzzy Z-Analytic Hierarchy Process, Pythagorean Fuzzy Z-Numbers",

author = "Sari, \{Irem Ucal\}",

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",

year = "2024",

doi = "10.1007/978-3-031-67192-0\_46",

language = "English",

isbn = "9783031671913",

series = "Lecture Notes in Networks and Systems",

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

pages = "407--416",

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

booktitle = "Intelligent and Fuzzy Systems - Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference",

address = "Germany",

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Sari, IU 2024, Evaluation of Energy Management Projects Using Pythagorean Fuzzy Z-Numbers. 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. 1090 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 407-416, International Conference on Intelligent and Fuzzy Systems, INFUS 2024, Canakkale, Türkiye, 16/07/24. https://doi.org/10.1007/978-3-031-67192-0_46

Evaluation of Energy Management Projects Using Pythagorean Fuzzy Z-Numbers. / Sari, Irem Ucal.
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. 407-416 (Lecture Notes in Networks and Systems; Hac. 1090 LNNS).

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

TY - GEN

T1 - Evaluation of Energy Management Projects Using Pythagorean Fuzzy Z-Numbers

AU - Sari, Irem Ucal

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

PY - 2024

Y1 - 2024

N2 - Energy management projects are predominantly recommended by external sources, such as Energy Service Companies, and this can lead to a significant variation in the reliability level of evaluations conducted by top management. Considering the potential absence of direct expertise among decision-makers in these projects, it becomes crucial to account for the reliability levels of their assessments during decision-making. This paper introduces the Pythagorean Fuzzy Z-Analytic Hierarchy Process methodology to account for the reliability levels of decision-makers’ judgments and applies it to weigh the selection criteria of energy management projects.

AB - Energy management projects are predominantly recommended by external sources, such as Energy Service Companies, and this can lead to a significant variation in the reliability level of evaluations conducted by top management. Considering the potential absence of direct expertise among decision-makers in these projects, it becomes crucial to account for the reliability levels of their assessments during decision-making. This paper introduces the Pythagorean Fuzzy Z-Analytic Hierarchy Process methodology to account for the reliability levels of decision-makers’ judgments and applies it to weigh the selection criteria of energy management projects.

KW - Energy Management

KW - Pythagorean Fuzzy Z-Analytic Hierarchy Process

KW - Pythagorean Fuzzy Z-Numbers

UR - https://www.scopus.com/pages/publications/85203170345

U2 - 10.1007/978-3-031-67192-0_46

DO - 10.1007/978-3-031-67192-0_46

M3 - Conference contribution

AN - SCOPUS:85203170345

SN - 9783031671913

T3 - Lecture Notes in Networks and Systems

SP - 407

EP - 416

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

A2 - Kahraman, Cengiz

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

Y2 - 16 July 2024 through 18 July 2024

ER -

Sari IU. Evaluation of Energy Management Projects Using Pythagorean Fuzzy Z-Numbers. 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. 407-416. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-031-67192-0_46

Evaluation of Energy Management Projects Using Pythagorean Fuzzy Z-Numbers

Özet

Yayın serisi

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Bibliyografik not

BM SKH

Belgeye Erişim

Diğer Dosyalar ve Linkler

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