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.
Original language | English |
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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 | 735-744 |
Number of pages | 10 |
ISBN (Print) | 9783031700170 |
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 |
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Volume | 1088 LNNS |
ISSN (Print) | 2367-3370 |
ISSN (Electronic) | 2367-3389 |
Conference
Conference | International Conference on Intelligent and Fuzzy Systems, INFUS 2024 |
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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
- AHP
- proportional fuzzy sets
- Spherical fuzzy sets