Pairwise comparisons are a well-established tool to compare weights of criteria and
alternatives or, more in general, any entities. Their ultimate goal is to facilitate the search for …

Abstract The Best-Worst Method (BWM) uses ratios of the relative importance of criteria in
pairs based on the assessment done by decision-makers. When a decision-maker provides …

Flood risk assessment is an important task for disaster management activities in flood-prone
areas. Therefore, it is crucial to develop accurate flood risk assessment maps. In this study …

In this paper, we proposed a novel approach for flood risk assessment, which is a
combination of a deep learning algorithm and Multi-Criteria Decision Analysis (MCDA). The …

This communication examines the best–worst method for multi-criteria decision making from
a more mathematical perspective. The central part of this manuscript is the introduction of a …

Vietnam is highly vulnerable to flood and storm impacts. Holistic flood risk assessment maps
that adequately consider flood risk factors of hazard, exposure, and vulnerability are not …

In the context of some multi-criteria decision-making methods, such as the Analytic
Hierarchy Process, an expert is required to compare entities, eg alternatives and criteria …

Vietnam has been extensively affected by floods, suffering heavy losses in human life and
property. While the Vietnamese government has focused on structural measures of flood …

The notion of consistency is used to estimate the quality of preference knowledge and its
stability for reliable evaluation of decision alternatives. It is well-known that a set of strict …

In this study, a new approach of machine learning (ML) models integrated with the analytic
hierarchy process (AHP) method was proposed to develop a holistic flood risk assessment …