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’ judgments and applies it to weigh the selection criteria of energy management projects.
| Original language | English |
|---|---|
| Title of host publication | Intelligent and Fuzzy Systems - Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference |
| Editors | Cengiz Kahraman, Sezi Cevik Onar, Selcuk Cebi, Basar Oztaysi, Irem Ucal Sari, A. Cagrı Tolga |
| Publisher | Springer Science and Business Media Deutschland GmbH |
| Pages | 407-416 |
| Number of pages | 10 |
| ISBN (Print) | 9783031671913 |
| DOIs | |
| Publication status | Published - 2024 |
| Event | International Conference on Intelligent and Fuzzy Systems, INFUS 2024 - Canakkale, Turkey Duration: 16 Jul 2024 → 18 Jul 2024 |
Publication series
| Name | Lecture Notes in Networks and Systems |
|---|---|
| Volume | 1090 LNNS |
| ISSN (Print) | 2367-3370 |
| ISSN (Electronic) | 2367-3389 |
Conference
| Conference | International Conference on Intelligent and Fuzzy Systems, INFUS 2024 |
|---|---|
| Country/Territory | Turkey |
| City | Canakkale |
| Period | 16/07/24 → 18/07/24 |
Bibliographical note
Publisher Copyright:© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
Keywords
- Energy Management
- Pythagorean Fuzzy Z-Analytic Hierarchy Process
- Pythagorean Fuzzy Z-Numbers
