Abstract
The paper presents a practical method for a software meant for the in-session processing of precedence data obtained from m judges and concerning n items. Precedence data of a judge can be given in a variety of ways — from a unique ordering to 1/2;-n (n-1) fuzzy precedence indices. First, the principles of processing are presented, then problems and suggested solutions. The latter refer to two notions: “expert agreement” as to the final precedence coefficients on the one hand and “resulting ordering” of the items on the other.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Marcotorchino, J.-F. and P. Michaud (1979): Optimisation en Analyse Ordinale des Données. Masson, Paris.
Michaud, P. (1981): Agrégation des préferences. Ph.D. Thesis. University Paris V I.
Owsiński, J.W. and Sł. Zadrożny (1986): Structuring a Regional Problem: Aggregation and Clustering in Orderings. Applied Stochastic Models and Data Analysis, 2, 1 and 2, pp. 83–95.
Owsiński,. J.W. and Sł. Zadrożny (1986): Clustering for ordinal data: a linear programming formulation. Control & Cybernetics 15, 183–194.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1988 Akademie-Verlag Berlin
About this paper
Cite this paper
Owsiński, J.W., Zadrożny, S. (1988). A Flexible System of Precedence Coefficient Aggregation and Consensus Measurement. In: Sydow, A., Tzafestas, S.G., Vichnevetsky, R. (eds) Systems Analysis and Simulation II. Advances in Simulation, vol 2. Springer, New York, NY. https://doi.org/10.1007/978-1-4613-8936-1_78
Download citation
DOI: https://doi.org/10.1007/978-1-4613-8936-1_78
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-97093-6
Online ISBN: 978-1-4613-8936-1
eBook Packages: Springer Book Archive