An Overview on Fuzzy Modelling of Complex Linguistic Preferences in Decision Making Rodríguez Sánchez, Rosa María Labella, Álvaro Martínez, Luis Fuzzy Linguistic Approach Fuzzy logic Computing with words Decision making Preference Modelling This work is partially supported by the Spanish National research project TIN2015-66524-P, Spanish Ministry of Economy and Finance Postdoctoral Training (FPDI-2013-18193) and ERDF. 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. 2020-07-17T11:05:45Z 2020-07-17T11:05:45Z 2016 info:eu-repo/semantics/article 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] http://hdl.handle.net/10481/63025 10.1080/18756891.2016.1180821 eng http://creativecommons.org/licenses/by-nc/3.0/es/ info:eu-repo/semantics/openAccess Atribución-NoComercial 3.0 España Atlantis Press and Taylor & Francis