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 |
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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 | |
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 |
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Hacim | 1090 LNNS |
ISSN (Basılı) | 2367-3370 |
ISSN (Elektronik) | 2367-3389 |
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???event.eventtypes.event.conference??? | International Conference on Intelligent and Fuzzy Systems, INFUS 2024 |
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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.