Name
Abstract | ||
|---|---|---|
We propose a unifying approach to the problem of measuring the inconsistency of judgments. More precisely, we define a general framework to allow several well-known inconsistency indices to be expressed as special cases of this new formulation. We consider inconsistency indices as aggregations of ‘local’, i.e. triple-based, inconsistencies. We show that few reasonable assumptions guarantee a set of good properties for the obtained general inconsistency index. Under this representation, we prove a property of Pareto efficiency and show that OWA functions and t-conorms are suitable aggregation functions of local inconsistencies. We argue that the flexibility of this proposal allows tuning of the index. For example, by using different types of OWA functions, the analyst can obtain the desired balance between an averaging behavior and a ‘largest inconsistency-focused’ behavior. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1007/s10479-018-2936-6 | Annals OR |
Keywords | Field | DocType |
Pairwise comparisons, Multiplicative preference relations, Consistency, Inconsistency index, Analytic hierarchy process, Aggregation, OWA functions | Pairwise comparison,Mathematical optimization,Pareto efficiency,Mathematics,Analytic hierarchy process | Journal |
Volume | Issue | ISSN |
274 | 1-2 | 1572-9338 |
Citations | PageRank | References |
1 | 0.35 | 26 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Matteo Brunelli | 1 | 303 | 17.62 |
| Michele Fedrizzi | 2 | 342 | 20.01 |