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EVENT PLANNER CONTRACTOR SELECTION BASED ON CONSISTENT FUZZY LINGUISTIC PREFERENCE RELATIONS METHOD
- Source :
- Malaysian Journal of Computing, Vol 9, Iss 2, Pp 1812-1823 (2024)
- Publication Year :
- 2024
- Publisher :
- UiTM Press, 2024.
-
Abstract
- Event planning, handled by the event planner, involves organizing and coordinating events. The growing number of event planning companies has created a competitive environment where all strive to be the top choice for event managers. Ranking event planners can be subjective, as it depends on specific event requirements. Therefore, it is a crucial stage in selecting the best event planner since many criteria need to be considered. This study aims to identify event planner contractors and rank the alternatives by applying Consistent Fuzzy Linguistic Preference Relations (CFLPR). CFLPR is chosen because it reduces the number of comparisons, streamlines the process, and prevents inconsistencies, especially with large amounts of data. As hierarchy levels increase, there are more comparisons to make, leading to inconsistent decisions. CFLPR is also used to address the event planner selection issue comprehensively, improving the consistency of Fuzzy AHP and handling fuzzy judgments. This method constructs matrices of fuzzy preference relations using linguistic variables. This study considered 10 criteria to rank 3 alternatives Through CFLPR execution, Persona Fiza Bridal emerges as the top choice, followed by Butik Pengantin Seriheza and Nwahyu Butik Pengantin & Kecantikan. These rankings are based on consistent fuzzy linguistic preference relations, with the highest value assigned the top ranking and the lowest the last. Persona Fiza Bridal is thus recommended as the ideal event planner for Rio Event Management.
- Subjects :
- cflpr
event planner
ranking
Electronic computers. Computer science
QA75.5-76.95
Subjects
Details
- Language :
- English
- ISSN :
- 26008238
- Volume :
- 9
- Issue :
- 2
- Database :
- Directory of Open Access Journals
- Journal :
- Malaysian Journal of Computing
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.697b3faa16fd446eb3edb0886137011a
- Document Type :
- article
- Full Text :
- https://doi.org/10.24191/mjoc.v9i2.26559