Abstract
By using the 2-tuple fuzzy linguistic representation model and by proposing the concept of the individual consistency evaluations, this paper develops a 2-tuple linguistic index to measure the consistency degree of linguistic preference relations. Comparing with the existing numerical consistency indexes, the proposed linguistic index not only measures the consistency degree of linguistic preference relations via a linguistic way, but also can reflect the individual difference on consistency degree of linguistic preference relations. Further, this paper proposes an algorithm to improving consistency degree in linguistic preference relations, and the proof of the convergence of this algorithm is also given. The results in this paper provide a theoretic basis for the application of consistent linguistic preference relations in decision making problems.
| Original language | English |
|---|---|
| Pages (from-to) | 2117-2130 |
| Number of pages | 14 |
| Journal | Soft Computing |
| Volume | 17 |
| Issue number | 11 |
| DOIs | |
| State | Published - Nov 2013 |
| Externally published | Yes |
Keywords
- Consistency
- Linguistic preference relation
- The 2-tuple fuzzy linguistic representation model
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