Consistency measures for pairwise comparison matrices
β Scribed by Jonathan Barzilai
- Publisher
- John Wiley and Sons
- Year
- 1998
- Tongue
- English
- Weight
- 114 KB
- Volume
- 7
- Category
- Article
- ISSN
- 1057-9214
No coin nor oath required. For personal study only.
β¦ Synopsis
We propose new measures of consistency of additive and multiplicative pairwise comparison matrices. These measures, the relati6e consistency and relati6e error, are easy to compute and have clear and simple algebraic and geometric meaning, interpretation and properties. The correspondence between these measures in the additive and multiplicative cases reflects the same correspondence which underpins the algebraic structure of the problem and relates naturally to the corresponding optimization models and axiom systems. The relati6e consistency and relati6e error are related to one another by the theorem of Pythagoras through the decomposition of comparison matrices into their consistent and error components. One of the conclusions of our analysis is that inconsistency is not a sufficient reason for revision of judgements.
π SIMILAR VOLUMES
Pairwise comparison matrices (PCMs) over an Abelian linearly ordered (alo)-group G = (G, , β€ ) have been introduced to generalize multiplicative, additive and fuzzy ones and remove some consistency drawbacks. Under the assumption of divisibility of G, for each PCM A = (a ij ), a -mean vector w m (A)
We consider the framework of pairwise comparison matrices over abelian linearly ordered groups. We introduce the notion of -proportionality that allows us to provide new characterizations of the consistency, efΓcient algorithms for checking the consistency and for building a consistent matrix. Moreo
A crucial problem in a decision-making process is the determination of a scale of relative importance for a set X Ο $x 1 , x 2 , . . . , x n % of alternatives either with respect to a criterion C or an expert E. A widely used tool in Multicriteria Decision Making is the pairwise comparison matrix A