𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Generalized consistency and intensity vectors for comparison matrices

✍ Scribed by L. D'Apuzzo; G. Marcarelli; M. Squillante


Publisher
John Wiley and Sons
Year
2007
Tongue
English
Weight
147 KB
Volume
22
Category
Article
ISSN
0884-8173

No coin nor oath required. For personal study only.

✦ Synopsis


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 Ο­ ~aij !, where a ij is a positive number expressing how much the alternative x i is preferred to the alternative x j . Under a suitable hypothesis of no indifference and transitivity over the matrix A Ο­ ~aij !, the actual qualitative ranking on the set X is achievable. Then a vector tw may represent the actual ranking at two different levels: as an ordinal evaluation vector, or as an intensity vector encoding information about the intensities of the preferences. In this article we focus on the properties of a pairwise comparison matrix A Ο­ ~aij ! linked to the existence of intensity vectors.


πŸ“œ SIMILAR VOLUMES


Consistency measures for pairwise compar
✍ Jonathan Barzilai πŸ“‚ Article πŸ“… 1998 πŸ› John Wiley and Sons 🌐 English βš– 114 KB

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 th

About a consistency index for pairwise c
✍ B. Cavallo; L. D'Apuzzo; M. Squillante πŸ“‚ Article πŸ“… 2011 πŸ› John Wiley and Sons 🌐 English βš– 170 KB

Pairwise comparison matrices (PCMs) over an Abelian linearly ordered (alo)-group G = (G, , ≀ ) 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)