| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 495753 | Applied Soft Computing | 2014 | 12 Pages |
Abstract
- We associate FQFD with relative preference relation to identify adjusted criteria weights in an FMCDM model.
- By the adjusted criteria weights, we can avoid multiplying triangular or trapezoidal fuzzy numbers, aggregating multiplied fuzzy numbers, and ranking them.
- Adjusted criteria weights substitutes for original criteria weights in FMCDM through relative preference relation, and thus adjusted criteria weights are useful to construct an FMCDM model.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Yu-Jie Wang,