Ranking fuzzy numbers by distance minimization
β Scribed by B. Asady; A. Zendehnam
- Publisher
- Elsevier Science
- Year
- 2007
- Tongue
- English
- Weight
- 253 KB
- Volume
- 31
- Category
- Article
- ISSN
- 0307-904X
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
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.
By using the decomposition principle and the crisp ranking system on R, we construct a new ranking system for fuzzy numbers which is very realistic and also matching our intuition as in R.
We propose a ranking method for fuzzy numbers. In this method a preference function is deΓΏned by which fuzzy numbers are measured point by point and at each point the most preferred number is identiΓΏed. Then, these numbers are ranked on the basis of their preference ratio. Therefore, fuzzy numbers a