Fuzzy Multi-Criteria Acceptability Analysis: A new Approach to Multi-Criteria Decision Analysis under Fuzzy Environment
Tipo de publicación: International Journal
Año de publicación: 2017
Autores: Boris Yatsalo
Director: Alexander Korobov, Luis Martínez
Tipo: Expert Systems with Applications
Volumen: 84
Paginación: 262-271
Numero ISSN: 0957-4174
Palabras clave: mavt
Resumen: Abstract Uncertainty is one of the main difficulties that increases the complexity of multi-criteria decision analysis (MCDA) problems, and often uncertainty cannot be managed by probabilistic models. In such cases, the use of fuzzy methods have been successfully applied to multi-criteria decision methods in which the ranking of fuzzy quantities is crucial for the decision analysis. This paper aims to introduce a new approach to \MCDA\ problems defined under fuzzy contexts that implements the concept of acceptability analysis, Fuzzy Multi-Criteria Acceptability Analysis (FMAA), based on the Fuzzy Rank Acceptability Analysis (FRAA), that provides a ranking and a confidence degree about the ranking of fuzzy quantities. Based on the fuzzy extension of \MAVT\ method, the \FMAA\ is implemented and then applied to a case study, and its results are compared with other well-known \MCDA\ methods in order to show its validity, interpretability and consistency.
URL: http://www.sciencedirect.com/science/article/pii/S0957417417303214
DOI: https://doi.org/10.1016/j.eswa.2017.05.005
Cuartil:
Q1