This is a follow up to “Solution of the least squares method problem of pairwise comparisons matrix” by Bozóki published by this journal in 2008. Familiarity with this paper is essential and assumed. For lower inconsistency and decreased accuracy, our proposed solutions run in seconds instead of days. As such, they may be useful for researchers willing to use the least squares method instead of the geometric means method
International audiencePalrwise comparison methods are convenient procedures for predicting a sound w...
The Method of Least Squares is a procedure to determine the best fit line to data; the proof uses si...
AbstractThe algorithm for finding a consistent approximation to an inconsistent pairwise comparisons...
This is a follow up to ”Solution of the least squares method problem of pairwise comparisons matrix”...
The aim of the paper is to present a new global optimization method for determining all the optima ...
A least-squares solution for the method of paired comparisons is given. The approach provokes a th...
We present a general approach to pairwise comparison matrices and introduce a consistency index that...
The aim of the paper is to present a new global optimization method for determining all the optima ...
AbstractThis paper presents an algorithm for computing a consistent approximation to a generalized p...
Pairwise comparison matrices are often used in Multi-attribute Decision Making forweighting the attr...
In several methods of multiattribute decision making, pairwise comparison matrices are applied to de...
Pairwise comparison methods are convenient procedures for predicting a sound weight vector from a se...
In several methods of multiattribute decision making pairwise comparison matrices are applied to der...
Abstract A formal proof of convergence of a class of algorithms for reducing inconsistency of pairwi...
AbstractConsistency retrieval from a biased relative preference table is an imperative task in decis...
International audiencePalrwise comparison methods are convenient procedures for predicting a sound w...
The Method of Least Squares is a procedure to determine the best fit line to data; the proof uses si...
AbstractThe algorithm for finding a consistent approximation to an inconsistent pairwise comparisons...
This is a follow up to ”Solution of the least squares method problem of pairwise comparisons matrix”...
The aim of the paper is to present a new global optimization method for determining all the optima ...
A least-squares solution for the method of paired comparisons is given. The approach provokes a th...
We present a general approach to pairwise comparison matrices and introduce a consistency index that...
The aim of the paper is to present a new global optimization method for determining all the optima ...
AbstractThis paper presents an algorithm for computing a consistent approximation to a generalized p...
Pairwise comparison matrices are often used in Multi-attribute Decision Making forweighting the attr...
In several methods of multiattribute decision making, pairwise comparison matrices are applied to de...
Pairwise comparison methods are convenient procedures for predicting a sound weight vector from a se...
In several methods of multiattribute decision making pairwise comparison matrices are applied to der...
Abstract A formal proof of convergence of a class of algorithms for reducing inconsistency of pairwi...
AbstractConsistency retrieval from a biased relative preference table is an imperative task in decis...
International audiencePalrwise comparison methods are convenient procedures for predicting a sound w...
The Method of Least Squares is a procedure to determine the best fit line to data; the proof uses si...
AbstractThe algorithm for finding a consistent approximation to an inconsistent pairwise comparisons...