@revista_internacional{270,
  keywords = {mavt},
  author = {Boris Yatsalo and Alexander Korobov and Luis Martínez},
  title = {Fuzzy Multi-Criteria Acceptability Analysis: A new Approach to Multi-Criteria Decision Analysis under Fuzzy Environment},
  abstract = {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.},
  year = {2017},
  journal = {Expert Systems with Applications},
  volume = {84},
  pages = {262-271},
  issn = {0957-4174},
  url = {http://www.sciencedirect.com/science/article/pii/S0957417417303214},
  doi = {https://doi.org/10.1016/j.eswa.2017.05.005},
}