Uso de preferencias lingüísticas comparativas en toma de decisiones bajo incertidumbre

Abstract

This thesis focuses on improving the flexibility of the elicitation of the linguistic information in decision making problems under uncertainty. Firstly, it presents a new representation model of linguistic information entitled Hesitant Fuzzy Linguistic Term Sets (HFLTS), which allows experts to express their preferences with more than one linguistic term by comparative linguistic expressions, in hesitant decision situations where the use of just one linguistic term is not suitable to represent the hesitant of the experto In addition, it defines a computational linguistic model to compute with HFLTS. Afterwards, it proposes models of group decision making, multicriteria decision making and multiexpert multicriteria decision making, where experts can provide their preferences by using single linguistic terms or comparative linguistic expressions. Finally, it shows a developed module in a Decision Support System to manage hesitant situations in linguistic contexts.