Buildings are accountable for nearly 40% of global greenhouse gas emissions. Their overall efficiency is thus a major pillar to optimize energy consumption and mitigate engendered warming. The current work takes part in this dynamic. Indeed, we developed standalone decision-aid tool based on sensitivity analysis, multiobjective optimization, artificial neural networks design new generation ener...

The degree of similarity or dissimilarity between the objects under study plays an important role. In vector space, especially, the cosine similarity measure is often used in information retrieval, citation analysis, and automatic classification. However, it scarcely deals with trapezoidal fuzzy information and multicriteria decision-making problems. For this purpose, a cosine similarity measur...

The paper proposes a two-phase methodology to support groups in multicriteria classification problems. The first phase, which relies on dominance-based rough set approach, takes as input a set of assignment examples, and generates as output a set of collective decision rules representing a generalized description of the preference information of the decision makers. The second phase then applie...

Purpose Because of the significant differences in features and requirements specific products capabilities various additive manufacturing (AM) solutions, selecting most appropriate AM technology can be challenging. This study aims to propose a method solve complex process selection 3D printing applications, especially by creating new multicriteria decision-making tool that takes direct certaint...