метод аналітичної ієрархії

In the broad application of the analytic hierarchy process (AHP) to address decision problems pertaining to multi-criteria decision-making, crisp values are often used to represent the linguistic judgement made by experts or decision makers.  The numerous fuzzy approaches proposed in prior studies, such as interval type-2 fuzzy set (IT2FS) and hesitant fuzzy set (HFS), may serve as alternative models to tackle both vagueness and uncertainty during the decision process.  As such, this study offers a new AHP framework characterised by the integration of IT2FS and HFS for

In this paper, we are interested in modifying inconsistent pairwise comparison matrix which is a critical step in the AHP methodology, where decision makers have to improve the consistency by revising the process.  To this end, we propose an improved genetic algorithm (GA) to allow decision makers to find an appropriate matrix and adjust the consistency of their judgment without loss of original comparison matrix.  Numerical results with different dimensions of matrices taken randomly show the effectiveness of these strategy to improve and identify the consistency of pa