A Synthetic Measure for Ranking Overall Satisfaction Based on Multidimensional Ordinal Data. The Case of Airlines on the Tripadvisor Website
A multi-criteria method has been proposed to measure global consumer satisfaction by handling graphical information represented in circles or star ratings available on the website for several criteria. The Synthetic Measure for Ordinal Data (SMOD) is based on Hellwig's framework measuring dista...
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| Format: | Article |
| Language: | English |
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Wrocław University of Science and Technology
2024-01-01
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| Series: | Operations Research and Decisions |
| Online Access: | https://ord.pwr.edu.pl/assets/papers_archive/ord2024vol34no3_12.pdf |
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| author | Ewa Roszkowska Bartłomiej Jefmański Marta Kusterka-Jefmańska |
| author_facet | Ewa Roszkowska Bartłomiej Jefmański Marta Kusterka-Jefmańska |
| author_sort | Ewa Roszkowska |
| collection | DOAJ |
| description | A multi-criteria method has been proposed to measure global consumer satisfaction by handling graphical information represented in circles or star ratings available on the website for several criteria. The Synthetic Measure for Ordinal Data (SMOD) is based on Hellwig's framework measuring distances between the object and the ideal object. In the construction of the synthetic measure, the distance between the ideal and anti-ideal object is also used. GDM2 distance measure was used for the calculation of distances between objects evaluated by ordinal scale. The proposed framework can be an alternative for the fuzzy or intuitionistic fuzzy transformations of linguistic data into fuzzy context. The SMOD method was applied for evaluation and ranking airlines based on passengers' reviews accessed on the TripAdvisor website. We found that the proposed multi-criteria method enables us to discriminate and rank airlines based on incomplete information presented on this website. According to SMOD, the best is Singapore Airlines, while the last is Air China when considering Star Alliance members. (original abstract) |
| format | Article |
| id | doaj-art-265fce8eb1e542c0a2e61d7da095f906 |
| institution | Matheson Library |
| issn | 2081-8858 2391-6060 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Wrocław University of Science and Technology |
| record_format | Article |
| series | Operations Research and Decisions |
| spelling | doaj-art-265fce8eb1e542c0a2e61d7da095f9062025-07-09T15:36:07ZengWrocław University of Science and TechnologyOperations Research and Decisions2081-88582391-60602024-01-01vol. 34no. 3221242171700388A Synthetic Measure for Ranking Overall Satisfaction Based on Multidimensional Ordinal Data. The Case of Airlines on the Tripadvisor WebsiteEwa Roszkowska0Bartłomiej Jefmański1Marta Kusterka-Jefmańska2Bialystok University of Technology , PolandWroclaw University of Economics and Business, PolandWroclaw University of Economics and BusinessA multi-criteria method has been proposed to measure global consumer satisfaction by handling graphical information represented in circles or star ratings available on the website for several criteria. The Synthetic Measure for Ordinal Data (SMOD) is based on Hellwig's framework measuring distances between the object and the ideal object. In the construction of the synthetic measure, the distance between the ideal and anti-ideal object is also used. GDM2 distance measure was used for the calculation of distances between objects evaluated by ordinal scale. The proposed framework can be an alternative for the fuzzy or intuitionistic fuzzy transformations of linguistic data into fuzzy context. The SMOD method was applied for evaluation and ranking airlines based on passengers' reviews accessed on the TripAdvisor website. We found that the proposed multi-criteria method enables us to discriminate and rank airlines based on incomplete information presented on this website. According to SMOD, the best is Singapore Airlines, while the last is Air China when considering Star Alliance members. (original abstract)https://ord.pwr.edu.pl/assets/papers_archive/ord2024vol34no3_12.pdf |
| spellingShingle | Ewa Roszkowska Bartłomiej Jefmański Marta Kusterka-Jefmańska A Synthetic Measure for Ranking Overall Satisfaction Based on Multidimensional Ordinal Data. The Case of Airlines on the Tripadvisor Website Operations Research and Decisions |
| title | A Synthetic Measure for Ranking Overall Satisfaction Based on Multidimensional Ordinal Data. The Case of Airlines on the Tripadvisor Website |
| title_full | A Synthetic Measure for Ranking Overall Satisfaction Based on Multidimensional Ordinal Data. The Case of Airlines on the Tripadvisor Website |
| title_fullStr | A Synthetic Measure for Ranking Overall Satisfaction Based on Multidimensional Ordinal Data. The Case of Airlines on the Tripadvisor Website |
| title_full_unstemmed | A Synthetic Measure for Ranking Overall Satisfaction Based on Multidimensional Ordinal Data. The Case of Airlines on the Tripadvisor Website |
| title_short | A Synthetic Measure for Ranking Overall Satisfaction Based on Multidimensional Ordinal Data. The Case of Airlines on the Tripadvisor Website |
| title_sort | synthetic measure for ranking overall satisfaction based on multidimensional ordinal data the case of airlines on the tripadvisor website |
| url | https://ord.pwr.edu.pl/assets/papers_archive/ord2024vol34no3_12.pdf |
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