JUCS - Journal of Universal Computer Science 16(1): 62-81, doi: 10.3217/jucs-016-01-0062
A Selection Process Based on Additive Consistency to Deal with Incomplete Fuzzy Linguistic Information
expand article infoFrancisco Javier Cabrerizo‡, Rubén Heradio‡, Ignacio Javier Pérez§, Enrique Herrera-Viedma§
‡ UNED, Madrid, Spain§ University of Granada, Granada, Spain

Corresponding author: Francisco Cabrerizo ( cabrerizo@issi.uned.es )

© Francisco Cabrerizo, Rubén Heradio, Ignacio Pérez, Enrique Herrera-Viedma.
This article is freely available under the J.UCS Open Content License.
Citation: Cabrerizo FJ, Heradio R, Pérez IJ, Herrera-Viedma E (2010) A Selection Process Based on Additive Consistency to Deal with Incomplete Fuzzy Linguistic Information. JUCS - Journal of Universal Computer Science 16(1): 62-81. https://doi.org/10.3217/jucs-016-01-0062
Open Access
Abstract
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.
Keywords
group decision making, incomplete information, fuzzy linguistic information, consistency, aggregation