Abstract
Determining the most suitable prioritization method for pairwise comparisons remains an open problem. This paper proposes a method based on the generation of all possible preferences from a set of judgments in pairwise comparisons. A concept of pivotal combination is introduced using a graph-theoretic approach. A set of preferences is generated by enumerating all spanning trees. The mean of these preferences is proposed as a final priority vector, and variance gives a measure of inconsistency. The proposed method provides a way of ordering objects according to a voting scheme. The proposed method is also applicable to incomplete sets of pairwise comparisons without modification, unlike other popular methods which require intermediate steps to estimate missing judgments. © 2011 Elsevier Ltd.
| Original language | English |
|---|---|
| Pages (from-to) | 191-199 |
| Number of pages | 8 |
| Journal | Computers and Operations Research |
| Volume | 39 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - Feb 2012 |
Keywords
- Decision making
- Graph theory
- MCDM
- Pairwise comparisons