Materials Selection Using a 2-tuple Linguistic Multi-criteria Method
AUTOR(ES)
Setti, Dalmarino
FONTE
Mat. Res.
DATA DE PUBLICAÇÃO
20/01/2020
RESUMO
The materials selection can affect the design component radically, with effect on the manufacturing systems efficiency, environmental impact issues, and customer satisfaction. There are different methods employed for materials selection; however, two steps are usual for most of these methods: screening and ranking. The ranking step identifies among materials candidates those that can perform the function the best as possible. Multi-criteria methods have been widely employed to materials selection, especially in the ranking step. Most of these methods take advantage of fuzzy numbers and linguistic variables to process qualitative information and information with uncertainties. One of the approaches that have been developed to solve issues related to make decisions in multi-criteria methods using linguistic information is the 2-tuple linguistic computational model. The main advantage of this approach is taking the “loss of information” away, which provides a higher precision on results. This paper aims to present a multi-criteria method for materials selection ranking step based on 2-tuple linguistic variables. The steps and several equations needed to apply the proposed method are described. Two case studies are presented and compare results with other methods to demonstrate the proposed method potential.
Documentos Relacionados
- Multi-criteria Selection of Distributed Mini Generation Systems Using Rice Husk
- Multi-criteria analysis of professional education on supply chain management
- McDSDS : a multi-criteria model for planning distributed software development projects with scrum
- Water distribution network segmentation based on group multi-criteria decision approach
- Multi-Criteria Analysis to Prioritize Energy Sources for Ambience in Poultry Production