@misc{10481/64943,
year = {2015},
url = {http://hdl.handle.net/10481/64943},
abstract = {Nowadays, the human-computer interaction is being a hot topic. In such a way, several methods have been proposed to
deal with multi-granularity when people with different knowledge level express their preferences on the same concept using
linguistic notation, that is, words instead of numbers. This is a critical problem in group decision making scenarios, but
all the existing approaches have their own advantages and drawbacks. Therefore, some work better in certain environments
than others. In such a way, choosing the best method in each situation is critical for obtaining good quality results. In this
contribution, an analysis on the different fuzzy linguistic multi-granular modelling approaches is presented in order to provide
the reader some advice of what method should be chosen depending on the problem and the quality of results that the user
expects to obtain.},
organization = {This paper has been developed with the financing of FEDER funds in FUZZYLING-II Project TIN2010-
17876, TIN2013-40658-P and Andalusian Excellence Projects TIC-05299 and TIC-5991},
publisher = {Elsevier},
keywords = {Computing with words},
keywords = {Group decision making},
keywords = {Fuzzy linguistic modelling},
keywords = {Multi-granular linguistic information},
title = {On multi-granular fuzzy linguistic modelling in decision making},
doi = {10.1016/j.procs.2015.07.049},
author = {Morente Molinera, Juan Antonio and Javier Pérez, Ignacio and Ureña, Raquel and Herrera Viedma, Enrique},
}