RM approach for ranking ofL–Rtype generalized fuzzy numbers
✍ Scribed by Amit Kumar; Pushpinder Singh; Parmpreet Kaur; Amarpreet Kaur
- Book ID
- 106169517
- Publisher
- Springer
- Year
- 2010
- Tongue
- English
- Weight
- 246 KB
- Volume
- 15
- Category
- Article
- ISSN
- 1432-7643
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
## a b s t r a c t Ranking fuzzy numbers plays an very important role in linguistic decision making and some other fuzzy application systems. Several strategies have been proposed for ranking of fuzzy numbers. Each of these techniques have been shown to produce non-intuitive results in certain case
Many ranking methods have been proposed so far. However, there is yet no method that can always give a satisfactory solution to every situation; some are counterintuitive, not discriminating; some use only the local information of fuzzy values; some produce different rankings for the same situation.
This study presents an approximate approach for ranking fuzzy numbers based on the left and right dominance. The proposed approach only requires a few left and right spreads at some a-levels of fuzzy numbers to determine the respective dominance of one fuzzy number over the other. The total dominanc