Matrix analysis
Applied Mathematics and Computation
A Procedure for Decision Making Based on Incomplete Fuzzy Preference Relation
Fuzzy Optimization and Decision Making
On Saaty's and Koczkodaj's inconsistencies of pairwise comparison matrices
Journal of Global Optimization
Ranking decision variants by subjective paired comparisons in cases with incomplete data
ICCSA'03 Proceedings of the 2003 international conference on Computational science and its applications: PartIII
Consistency prediction for incomplete AHP matrices
Mathematical and Computer Modelling: An International Journal
An LP-based inconsistency monitoring of pairwise comparison matrices
Mathematical and Computer Modelling: An International Journal
Some models for generating and ranking multiplicative weights
Computers and Industrial Engineering
The QoS-based MCDM system for SaaS ERP applications with Social Network
The Journal of Supercomputing
Hi-index | 0.98 |
An important variant of a key problem for multi-attribute decision making is considered. We study the extension of the pairwise comparison matrix to the case when only partial information is available: for some pairs no comparison is given. It is natural to define the inconsistency of a partially filled matrix as the inconsistency of its best, completely filled completion. Here we study the uniqueness problem of the best completion for two weighting methods, the Eigenvector Method and the Logarithmic Least Squares Method. In both settings we obtain the same simple graph theoretic characterization of the uniqueness. The optimal completion will be unique if and only if the graph associated with the partially defined matrix is connected. Some numerical examples are discussed at the end of the paper.