This paper evaluates such distance-metric-based approaches comparing their effectiveness, using the eigenvalue method as a benchmark.

Apr 14, 2004 · This paper has analyzed the weight derivation of a matrix of pairwise comparisons from the perspective of distance-metric optimization methods.

This paper evaluates such distance-metric-based approaches comparing their effectiveness, using the eigenvalue method as a benchmark. A common framework is ...

This paper evaluates such distance-metric-based approaches comparing their effectiveness, using the eigenvalue method as a benchmark. A common framework is ...

This paper evaluates such distance-metric-based approaches comparing their effectiveness, using the eigenvalue method as a benchmark. A common framework is ...

This paper examines the problem of extracting object or attribute weights from a pairwise comparison ratio matrix.

In this paper we employ both statistical and axiomatic arguments to derive weights from such matrices. Both of these approaches lead to geometric mean-type ...

Nov 24, 2021 · This paper proposed a new approach for generating weights from a pairwise comparison matrix. The proposed approach considers the most ...

Pairwise comparison matrices are frequently applied in multi-criteria decision making. A weight vector is called efficient if no other weight vector is at least ...

Oct 22, 2024 · Data envelopment analysis (DEA) has been used for obtaining weights for the analytic hierarchy process (AHP), an approach known as DEAHP.