An overview on the 2-tuple linguistic model for computing with words in decision making: Extensions, applications and challenges
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 …
uncertainty is usually a big challenge. Hence, different proposals to tackle and manage the …
On multi-granular fuzzy linguistic modeling in group decision making problems: A systematic review and future trends
The multi-granular fuzzy linguistic modeling allows the use of several linguistic term sets in
fuzzy linguistic modeling. This is quite useful when the problem involves several people with …
fuzzy linguistic modeling. This is quite useful when the problem involves several people with …
Managing multigranular linguistic distribution assessments in large-scale multiattribute group decision making
Linguistic large-scale group decision making (LGDM) problems are more and more common
nowadays. In such problems a large group of decision makers are involved in the decision …
nowadays. In such problems a large group of decision makers are involved in the decision …
Interval-valued hesitant fuzzy linguistic sets and their applications in multi-criteria decision-making problems
An interval-valued hesitant fuzzy linguistic set (IVHFLS) can serve as an extension of both a
linguistic term set and an interval-valued hesitant fuzzy set. This new set combines …
linguistic term set and an interval-valued hesitant fuzzy set. This new set combines …
Computing with words in decision making: foundations, trends and prospects
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 …
to narrow the differences between human reasoning and computing. As Decision Making is …
An integrated fuzzy MCDM approach for supplier evaluation and selection
A fuzzy multi-criteria group decision making approach that makes use of quality function
deployment (QFD), fusion of fuzzy information and 2-tuple linguistic representation model is …
deployment (QFD), fusion of fuzzy information and 2-tuple linguistic representation model is …
Group decision making with heterogeneous preference structures: An automatic mechanism to support consensus reaching
In real-world decision problems, decision makers usually express their opinions with
different preference structures. In order to deal with the heterogeneous preference …
different preference structures. In order to deal with the heterogeneous preference …
A fuzzy MCDM approach for personnel selection
Many individual attributes considered for personnel selection such as organizing ability,
creativity, personality, and leadership exhibit vagueness and imprecision. The fuzzy set …
creativity, personality, and leadership exhibit vagueness and imprecision. The fuzzy set …
Computing the numerical scale of the linguistic term set for the 2-tuple fuzzy linguistic representation model
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 …
computing with words (CW). Together with the 2-tuple fuzzy linguistic representation models …
Methods for aggregating intuitionistic uncertain linguistic variables and their application to group decision making
With respect to multiple attribute group decision making (MAGDM) problems in which the
attribute weights and the expert weights take the form of real numbers and the attribute …
attribute weights and the expert weights take the form of real numbers and the attribute …