A different perspective on a scale for pairwise comparisons

Authors:
J. Fülöp;W. W. Koczkodaj;S. J. Szarek
Affiliations:
Research Group of Operations Research and Decision Systems, Computer and Automation Research Institute, Hungarian Academy of Sciences, Budapest, Hungary;Computer Science, Laurentian University, Sudbury, Ontario, Canada;Department of Mathematics, Case Western Reserve University, Cleveland, Ohio and Université Pierre et Marie Curie-Paris 6, Paris, France
Venue:
Transactions on computational collective intelligence I
Year:
2010

Citing 9
Cited 0

Approaches to consistency adjustment

Journal of Optimization Theory and Applications
Convergence of inconsistency algorithms for the pairwise comparisons

Information Processing Letters
On the issue of consistency in dynamical consensual aggregation

Technologies for constructing intelligent systems
A common framework for deriving preference values from pairwise comparison matrices

Computers and Operations Research
Generalized consistency and intensity vectors for comparison matrices: Research Articles

International Journal of Intelligent Systems
On Saaty's and Koczkodaj's inconsistencies of pairwise comparison matrices

Journal of Global Optimization
A method for approximating pairwise comparison matrices by consistent matrices

Journal of Global Optimization
Fair Consistency Evaluation in Fuzzy Preference Relations and in AHP

KES '07 Knowledge-Based Intelligent Information and Engineering Systems and the XVII Italian Workshop on Neural Networks on Proceedings of the 11th International Conference
A general unified framework for pairwise comparison matrices in multicriterial methods

International Journal of Intelligent Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

One of the major challenges for collective intelligence is inconsistency, which is unavoidable whenever subjective assessments are involved. Pairwise comparisons allow one to represent such subjective assessments and to process them by analyzing, quantifying and identifying the inconsistencies. We propose using smaller scales for pairwise comparisons and provide mathematical and practical justifications for this change. Our postulate's aim is to initiate a paradigm shift in the search for a better scale construction for pairwise comparisons. Beyond pairwise comparisons, the results presented may be relevant to other methods using subjective scales.