A general unified framework for interval pairwise comparison matrices
This work addresses the need for a standardized approach to compare uncertain decision-making matrices, but it appears incremental as it builds on existing multiplicative and fuzzy methods.
The paper tackles the problem of handling uncertain preferences in decision-making by proposing a general unified framework for Interval Pairwise Comparison Matrices using Abelian linearly ordered groups, which allows for comparing inconsistency and indeterminacy across different matrix types on a unified coordinate system.
Interval Pairwise Comparison Matrices have been widely used to account for uncertain statements concerning the preferences of decision makers. Several approaches have been proposed in the literature, such as multiplicative and fuzzy interval matrices. In this paper, we propose a general unified approach to Interval Pairwise Comparison Matrices, based on Abelian linearly ordered groups. In this framework, we generalize some consistency conditions provided for multiplicative and/or fuzzy interval pairwise comparison matrices and provide inclusion relations between them. Then, we provide a concept of distance between intervals that, together with a notion of mean defined over real continuous Abelian linearly ordered groups, allows us to provide a consistency index and an indeterminacy index. In this way, by means of suitable isomorphisms between Abelian linearly ordered groups, we will be able to compare the inconsistency and the indeterminacy of different kinds of Interval Pairwise Comparison Matrices, e.g. multiplicative, additive, and fuzzy, on a unique Cartesian coordinate system.