A Selection Process Based on Additive Consistency to Deal with Incomplete Fuzzy Linguistic Information
Identificadores
URI: http://hdl.handle.net/10481/64844Metadata
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Institut für Informationssysteme und Computer Medien; Technische Universitaet Graz
Materia
Group decision making Incomplete information Fuzzy linguistic information Consistency Aggregation
Date
2010Referencia bibliográfica
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.
Sponsorship
European Union (EU) PET2007-0460 TIN2007-61079Abstract
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.