A Selection Process Based on Additive Consistency to Deal with Incomplete Fuzzy Linguistic Information

: 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. Key Words: group decision making, incomplete information, fuzzy linguistic infor...

• Type: Journal
• Year: 2010
• Where: JUCS
• Authors: Francisco Javier Cabrerizo, Ruben Heradio, Ignacio Javier Pérez, Enrique Herrera-Viedma
• Keywords: Additive Consistency Property, Consistency, Fuzzy Linguistic Information, JUCS 2010