An Alternative Ranking Approach and Its Usage in Multi-Criteria Decision-Making
In the process of fuzzy decision-making, ranking of fuzzy numbers is a necessity. The types of fuzzy numbers are triangular, trapezoidal, and L-R type. In the literature, there are many methods developed for ranking fuzzy numbers. These methods may produce different ranking results. Many of these me...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2009-12-01
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| Series: | International Journal of Computational Intelligence Systems |
| Subjects: | |
| Online Access: | https://www.atlantis-press.com/article/1887.pdf |
| _version_ | 1828806425142362112 |
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| author | Cengiz Kahraman A. Cagri Tolga |
| author_facet | Cengiz Kahraman A. Cagri Tolga |
| author_sort | Cengiz Kahraman |
| collection | DOAJ |
| description | In the process of fuzzy decision-making, ranking of fuzzy numbers is a necessity. The types of fuzzy numbers are triangular, trapezoidal, and L-R type. In the literature, there are many methods developed for ranking fuzzy numbers. These methods may produce different ranking results. Many of these methods necessitate graphical representations, complex and tedious calculations. The method developed in this paper has some advantages with respect to the other methods in both graphical representations and calculations. Applicability of the proposed method to multi-criteria decision-making methods, i.e. fuzzy scoring, fuzzy AHP and fuzzy TOPSIS methods, is shown in the paper. |
| first_indexed | 2024-12-12T08:09:35Z |
| format | Article |
| id | doaj.art-ca7f1bb0cbc2401e94b717c11b9c1823 |
| institution | Directory Open Access Journal |
| issn | 1875-6883 |
| language | English |
| last_indexed | 2024-12-12T08:09:35Z |
| publishDate | 2009-12-01 |
| publisher | Springer |
| record_format | Article |
| series | International Journal of Computational Intelligence Systems |
| spelling | doaj.art-ca7f1bb0cbc2401e94b717c11b9c18232022-12-22T00:31:50ZengSpringerInternational Journal of Computational Intelligence Systems1875-68832009-12-012310.2991/ijcis.2009.2.3.4An Alternative Ranking Approach and Its Usage in Multi-Criteria Decision-MakingCengiz KahramanA. Cagri TolgaIn the process of fuzzy decision-making, ranking of fuzzy numbers is a necessity. The types of fuzzy numbers are triangular, trapezoidal, and L-R type. In the literature, there are many methods developed for ranking fuzzy numbers. These methods may produce different ranking results. Many of these methods necessitate graphical representations, complex and tedious calculations. The method developed in this paper has some advantages with respect to the other methods in both graphical representations and calculations. Applicability of the proposed method to multi-criteria decision-making methods, i.e. fuzzy scoring, fuzzy AHP and fuzzy TOPSIS methods, is shown in the paper.https://www.atlantis-press.com/article/1887.pdfFuzzy numbersrankingdecision-makingTOPSISscoringAHP. |
| spellingShingle | Cengiz Kahraman A. Cagri Tolga An Alternative Ranking Approach and Its Usage in Multi-Criteria Decision-Making International Journal of Computational Intelligence Systems Fuzzy numbers ranking decision-making TOPSIS scoring AHP. |
| title | An Alternative Ranking Approach and Its Usage in Multi-Criteria Decision-Making |
| title_full | An Alternative Ranking Approach and Its Usage in Multi-Criteria Decision-Making |
| title_fullStr | An Alternative Ranking Approach and Its Usage in Multi-Criteria Decision-Making |
| title_full_unstemmed | An Alternative Ranking Approach and Its Usage in Multi-Criteria Decision-Making |
| title_short | An Alternative Ranking Approach and Its Usage in Multi-Criteria Decision-Making |
| title_sort | alternative ranking approach and its usage in multi criteria decision making |
| topic | Fuzzy numbers ranking decision-making TOPSIS scoring AHP. |
| url | https://www.atlantis-press.com/article/1887.pdf |
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