THE ORDERED WEIGHTED AVERAGE: A NEW FORMULATION FOR ELABORATING THE TRAVEL & TOURISM COMPETITIVENESS INDEX
Maricruz Olazabal-Lugo. Universidad Autónoma de Occidente, Mexico. Email: maricruz.olazabal@uadeo.mx
Luis A. Perez-Arellano. Universidad Autónoma de Sinaloa, Mexico. Email: luyz_@uas.edu.mx
Martin I. Huesca-Gastelum. Universidad Autónoma de Occidente, Mexico. Email: martin.gastelum@uadeo.mx
Alicia Delgadillo-Aguirre. Universidad Autónoma de Occidente, Mexico. Email: alicia.delgadillo@uadeo.mx
Ernesto Leon-Castro. Instituto Tecnológico de Sonora, Unidad Navojoa. Sonora, Mexico. Email: ernesto.leon243151@potros.itson.edu.mx
- Fuzzy Economic Review: Volume 27, Number 1, 2022
- DOI: 10.25102/fer.2022.01.04
Abstract
This work aims to generate a new ranking of the travel and tourism competitiveness index (TTCI) using the ordered weighted average (OWA) operator and its extensions. This method and its extensions generate a new competitiveness score for 140 countries. Applying this technique not only allows these nations to be ordered according to the relative importance of each criterion but also makes it possible to generate different scenarios highlighting the relevance of these elements. The main contribution is to provide new rankings based on specific weight for each factor and where all has the same importance to the score. Among the results, it is possible to notice important changes in the higher and middle spots of the ranking, indicating how much the rank can change if the elements of the TTCI aren’t equally important. On the other hand, the case of the lowest part of the ranking is interesting because they don’t present a real change, indicating that even when the importance of the elements is changed, they will remain at the bottom.
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