A Selection Process Based on Additive Consistency to Deal with Incomplete Fuzzy Linguistic Information Cabrerizo, F.J. Heradio, Rubén Javier Pérez, Ignacio Herrera Viedma, Enrique Group decision making Incomplete information Fuzzy linguistic information Consistency Aggregation This paper has been developed with the financing of FEDER funds with the PETRI project (PET2007-0460) and FUZZYLING project (TIN2007-61079). In group decision making situations, there may be cases in which experts do not have an in-depth knowledge of the problem to be solved and, as a result, they may present incomplete information. In this paper, we present a new selection process to deal with incomplete fuzzy linguistic information. As part of it, we use an iterative procedure to estimate the missing information. This procedure is guided by the additive consistency property and only uses the preference values provided by the experts. In addition, the additive consistency property is also used to measure the level of consistency of the information provided by the experts. The main novelties of this selection process are both the possibility to manage decision situations under incomplete fuzzy linguistic information and the importance of the experts’ preferences in the aggregation processes is modeled by means of the experts’ consistency. 2020-12-11T13:00:03Z 2020-12-11T13:00:03Z 2010 info:eu-repo/semantics/article Cabrerizo, F. J., Heradio, R., Pérez, I. J., & Herrera-Viedma, E. (2010). A Selection Process Based on Additive Consistency to Deal with Incomplete Fuzzy Linguistic Information. J. UCS, 16(1), 62-81. http://hdl.handle.net/10481/64844 eng http://creativecommons.org/licenses/by-nc-nd/3.0/es/ info:eu-repo/semantics/openAccess Atribución-NoComercial-SinDerivadas 3.0 España Institut für Informationssysteme und Computer Medien; Technische Universitaet Graz