An Overview on Fuzzy Modelling of Complex Linguistic Preferences in Decision Making
Type of publication: International Journal
Year of publication: 2016
Authors: Rosa María Rodríguez
Director: Álvaro Labella, Luis Martínez
Type: International Journal of Computational Intelligence Systems
Editorial: Taylor and Francis
Publication date: 2016
Volumen: 9
Pagination: 81-94
ISSN number: 1875-6891
Abstract: 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.
URL: http://www.tandfonline.com/doi/abs/10.1080/18756891.2016.1180821
DOI: 10.1080/18756891.2016.1180821
Quartile:
Q3
Índice de impacto:
1.14