Decision makers involved in complex decision making problems usually provide information
about their preferences by eliciting their knowledge with different assessments. Usually, the …

Dealing with uncertainty is always a challenging problem, and different tools have been
proposed to deal with it. Recently, a new model that is based on hesitant fuzzy sets has …

Decision making is a process common to human beings. The uncertainty and fuzziness of
problems demand the use of the fuzzy linguistic approach to model qualitative aspects of …

A study on the steps to follow in linguistic decision analysis is presented in a context of multi-
criteria/multi-person decision making. Three steps are established for solving a multi-criteria …

In those problems that deal with multiple sources of linguistic information we can find
problems defined in contexts where the linguistic assessments are assessed in linguistic …

This work presents a new fuzzy multiple attributes decision-making (FMADM) approach, ie,
fuzzy simple additive weighting system (FSAWS), for solving facility location selection …

The 2-tuple linguistic representation model is widely used as a basis for computing with
words (CW) in linguistic decision making problems. Two different models based on linguistic …

In this paper we shall develop a procedure for combining numerical and linguistic
information without loss of information in the transformation processes between numerical …

This monograph is an attempt to unify existing works in the field of random sets, random
variables, and linguistic random variables with respect to statistical analysis. It is intended to …

Fuzziness (entropy) is a commonly used measure of uncertainty for type-1 fuzzy sets. For
interval type-2 fuzzy sets (IT2 FSs), centroid, cardinality, fuzziness, variance and skewness …