A new volume of IEEE Access (IF=3.745) publishes a paper authored by scientists from School of Business Administration in Karvina, Silesian University, Opava, Czechia (Jiří Mazurek and Radomír Perzina) and from Department of Complex Systems Rzeszów University of Technology (Dominik Strzałka and Bartosz Kowal).
A paper entitled A New Step-by-Step (SBS) Algorithm for Inconsistency Reduction in Pairwise Comparisons refers to the problem of pairwise comparisons as a popular and important tool for multiple-criteria decision making. Consistency is one particular aspect of pairwise comparisons that has been studied thoroughly in recent decades since human judgements are seldom fully consistent. The aim of this paper is to propose a new simple and intuitive iterative Step-by-Step (SBS) algorithm for inconsistency reduction of a (multiplicative) pairwise comparison matrix based on step-by-step changes of the most inconsistent matrix element, where the inconsistency is measured by a modified Koczkodaj’s inconsistency index. A comparison of the proposed SBS algorithm with other algorithms for inconsistency reduction is provided as well.
J. Mazurek, R. Perzina, D. Strzałka and B. Kowal, "A New Step-by-Step (SBS) Algorithm for Inconsistency Reduction in Pairwise Comparisons," in IEEE Access, vol. 8, pp. 135821-135828, 2020, doi: 10.1109/ACCESS.2020.3011551
The paper is avaliable on page:
https://ieeexplore.ieee.org/document/9146524/authors#authors
