Many real world problems need to deal with uncertainty, therefore the management of such
uncertainty is usually a big challenge. Hence, different proposals to tackle and manage the …

Decision making is inherent to mankind, as human beings daily face situations in which they
should choose among different alternatives by means of reasoning and mental processes …

Computing with Words (CW) methodology has been used in several different environments
to narrow the differences between human reasoning and computing. As Decision Making is …

Many real problems dealing with qualitative aspects use linguistic approaches to assess
such aspects. In most of these problems, a uniform and symmetrical distribution of the …

The cloud model, which can synthetically describe the randomness and fuzziness of
qualitative concepts and implement uncertain transformations between a qualitative concept …

The main concepts of Computing with Words and linguistic decision making (LDM) have
been reviewed and some limitations of the classical linguistic computational models dealing …

When using linguistic approaches to solve decision problems, we need the techniques for
computing with words (CW). Together with the 2-tuple fuzzy linguistic representation models …

The aim of this paper is to put forward a method for multi-attribute decision making problems
with linguistic information, in which the preference values take the form of linguistic …

In this paper, we propose an uncertain linguistic hybrid geometric mean (ULHGM) operator,
which is based on the uncertain linguistic weighted geometric mean (ULWGM) operator and …

The aim of this paper is to develop some new linguistic aggregation operators, such as 2-
tuple linguistic power average (2TLPA) operator, 2-tuple linguistic weighted PA operator …