The estimation of priority vectors from pairwise comparison matrices is a core of the Analytic Hierarchy Process. Perhaps the most popular approach for deriving the priority weights is the right eigenvalue method (EM). Despite its popularity, various shortcomings of the EM have been described in literature. In this paper a new method for deriving priority vectors is proposed. This method makes use of the idea underlying the EM but in difference to the latter, the new one is optimization based. Important features of this new technique are studied via computer simulations and illustrated by some numerical examples
Abstract A matrix balancing problem and an eigenvalue problem are transformed into two minimum-norm ...
Pairwise comparison matrices (PCMs) are widely used to capture subjective human judgements, especial...
This article is devoted to some problems connected with multicriteria decision analysis. We consider...
Abstract. The estimation of priority vectors from pairwise comparison matrices is a core of the Anal...
AbstractThe derivation of a priority vector from a pair-wise comparison matrix (PCM) is an important...
Elsner L, Mehrmann V. Priority Vectors for Matrices of pairwise Comparisons. Methods of Operations R...
There are numerous priority deriving methods (PDMs) for pairwise-comparison-based (PCB) problems. Th...
Many application fields need evaluation tools and ranking techniques of several alternatives. The mu...
The decision making problem considered here is to rank n alternatives from the best to the worst, us...
The paper investigates the application of evolutionary algorithms (EA) for solving prioritisation pr...
It is important to derive priority weights from interval-valued fuzzy preferences when a pairwise co...
AbstractCounter-examples are given to show that in decision making, different methods of deriving pr...
Data envelopment analysis (DEA) methodology has recently been applied to weight derivation in the an...
In this paper, we investigate conditions, weaker than consistency, that a pairwise comparison matrix...
Pairwise comparison matrices play a prominent role in multiple-criteria decision-making, particularl...
Abstract A matrix balancing problem and an eigenvalue problem are transformed into two minimum-norm ...
Pairwise comparison matrices (PCMs) are widely used to capture subjective human judgements, especial...
This article is devoted to some problems connected with multicriteria decision analysis. We consider...
Abstract. The estimation of priority vectors from pairwise comparison matrices is a core of the Anal...
AbstractThe derivation of a priority vector from a pair-wise comparison matrix (PCM) is an important...
Elsner L, Mehrmann V. Priority Vectors for Matrices of pairwise Comparisons. Methods of Operations R...
There are numerous priority deriving methods (PDMs) for pairwise-comparison-based (PCB) problems. Th...
Many application fields need evaluation tools and ranking techniques of several alternatives. The mu...
The decision making problem considered here is to rank n alternatives from the best to the worst, us...
The paper investigates the application of evolutionary algorithms (EA) for solving prioritisation pr...
It is important to derive priority weights from interval-valued fuzzy preferences when a pairwise co...
AbstractCounter-examples are given to show that in decision making, different methods of deriving pr...
Data envelopment analysis (DEA) methodology has recently been applied to weight derivation in the an...
In this paper, we investigate conditions, weaker than consistency, that a pairwise comparison matrix...
Pairwise comparison matrices play a prominent role in multiple-criteria decision-making, particularl...
Abstract A matrix balancing problem and an eigenvalue problem are transformed into two minimum-norm ...
Pairwise comparison matrices (PCMs) are widely used to capture subjective human judgements, especial...
This article is devoted to some problems connected with multicriteria decision analysis. We consider...