Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
482206 | European Journal of Operational Research | 2008 | 12 Pages |
Abstract
For ranking alternatives based on pairwise comparisons, current analytic hierarchy process (AHP) methods are difficult to use to generate useful information to assist decision makers in specifying their preferences. This study proposes a novel method incorporating fuzzy preferences and range reduction techniques. Modified from the concept of data envelopment analysis (DEA), the proposed approach is not only capable of treating incomplete preference matrices but also provides reasonable ranges to help decision makers to rank decision alternatives confidently.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Li-Ching Ma, Han-Lin Li,