Advances in multi-attribute group decision making require the development of structures
flexible enough to deal with unbalanced and multi-granular linguistic information. New …

In decision making environments under uncertainty, assessments are frequently expressed
in linguistic terms. When people express their opinions using linguistic terms, the meanings …

Hesitant linguistic term sets have been introduced to capture the human way of reasoning
using linguistic expressions involving different levels of precision. In this paper, a lattice …

With the increase of technological and societal demands, more and more decision makers
are involved in the process of group decision making, which is called large-scale group …

Hesitant fuzzy linguistic term sets were introduced to grasp the uncertainty existing in human
reasoning when expressing preferences. In this paper, an extension of the set of hesitant …

Decision makers usually prefer to express their preferences by linguistic variables. Classic
fuzzy sets allowed expressing these preferences using a single linguistic value. Considering …

Present measures of the degree of agreement in group decision-making using hesitant fuzzy
linguistic term sets allow consensus or agreement measurement when decision makers' …

This paper aims to investigate the type of fuzzy multiple attribute group decision making
(MAGDM) where arguments being aggregated are allowed to support each other. In order to …

The complexity and impact of many real world decision making problems lead to the
necessity of considering multiple points of view, building group decision making problems in …

This study aims to deal with hesitant fuzzy linguistic multi-criteria group decision-making
(MCGDM) problems with multi-granular unbalanced linguistic term sets. Firstly, a signed …