An Overview on Fuzzy Modelling of Complex Linguistic Preferences in Decision Making
Metadatos
Mostrar el registro completo del ítemEditorial
Atlantis Press and Taylor & Francis
Materia
Fuzzy Linguistic Approach Fuzzy logic Computing with words Decision making Preference Modelling
Fecha
2016Referencia bibliográfica
Rodríguez, R. M., Labella, Á., & Martínez, L. (2016). An Overview on Fuzzy Modelling of Complex Linguistic Preferences in Decision Making. International Journal of Computational Intelligence Systems, 9(100), 81-94. [https://doi.org/10.1080/18756891.2016.1180821]
Patrocinador
Spanish National research project TIN2015-66524-P; Spanish Ministry of Economy and Finance Postdoctoral Training FPDI-2013-18193; European Union (EU)Resumen
Decision makers involved in complex decision making problems usually provide information about their preferences
by eliciting their knowledge with different assessments. Usually, the complexity of these decision problems implies
uncertainty that in many occasions has been successfully modelled by means of linguistic information, mainly based
on fuzzy based linguistic approaches. However, classically these approaches just allow the elicitation of simple
assessments composed by either one label or a modifier with a label. Nevertheless, the necessity of more complex
linguistic expressions for eliciting decision makers’ knowledge has led to some extensions of classical approaches
that allow the construction of expressions and elicitation of preferences in a closer way to human beings cognitive
process. This paper provides an overview of the broadest fuzzy linguistic approaches for modelling complex linguistic
preferences together some challenges that future proposals should achieve to improve complex linguistic modelling
in decision making.