International audienceThe 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 different knowledge levels since they could describe each item with different precision and they could need more than one linguistic term set. Multi-granular fuzzy linguistic modeling has been frequently used in group decision making field due to its capability of allowing each expert to express his/her preferences using his/her own linguistic term set. The aim of this research is to provide insights about the evolution of multi-granular fuzzy linguistic modeling approaches during the last years and discuss their drawbacks and advant...
Classic multi-criteria group decision making models that have a high amount of alternatives are unma...
Most group decision making problems based on linguistic approaches use symmetrically and uniformly ...
Hesitant linguistic term sets have been introduced to capture the human way of reasoning using lingu...
International audienceThe multi-granular fuzzy linguistic modeling allows the use of several linguis...
International audienceThe multi-granular fuzzy linguistic modeling allows the use of several linguis...
AbstractNowadays, the human-computer interaction is being a hot topic. In such a way, several method...
Nowadays, the human-computer interaction is being a hot topic. In such a way, several methods have b...
AbstractNowadays, the human-computer interaction is being a hot topic. In such a way, several method...
Advances in multi-attribute group decision making require the development of structures flexible eno...
Different consensus models for group decisionmaking (GDM) problems have been proposed in the literat...
Classification learning is a very complex process whose success and failure ratio depends on a high ...
Multiple-criteria or multiple-attribute group decision-making is a sub-field of operations research ...
As a result of the heterogeneity of decision-makers, it is more suitable to use multi-granular lingu...
The file attached to this record is the author's final peer reviewed version. The Publisher's final ...
This paper proposed a novel fuzzy best-worst multi-criteria group decision-making method to solve th...
Classic multi-criteria group decision making models that have a high amount of alternatives are unma...
Most group decision making problems based on linguistic approaches use symmetrically and uniformly ...
Hesitant linguistic term sets have been introduced to capture the human way of reasoning using lingu...
International audienceThe multi-granular fuzzy linguistic modeling allows the use of several linguis...
International audienceThe multi-granular fuzzy linguistic modeling allows the use of several linguis...
AbstractNowadays, the human-computer interaction is being a hot topic. In such a way, several method...
Nowadays, the human-computer interaction is being a hot topic. In such a way, several methods have b...
AbstractNowadays, the human-computer interaction is being a hot topic. In such a way, several method...
Advances in multi-attribute group decision making require the development of structures flexible eno...
Different consensus models for group decisionmaking (GDM) problems have been proposed in the literat...
Classification learning is a very complex process whose success and failure ratio depends on a high ...
Multiple-criteria or multiple-attribute group decision-making is a sub-field of operations research ...
As a result of the heterogeneity of decision-makers, it is more suitable to use multi-granular lingu...
The file attached to this record is the author's final peer reviewed version. The Publisher's final ...
This paper proposed a novel fuzzy best-worst multi-criteria group decision-making method to solve th...
Classic multi-criteria group decision making models that have a high amount of alternatives are unma...
Most group decision making problems based on linguistic approaches use symmetrically and uniformly ...
Hesitant linguistic term sets have been introduced to capture the human way of reasoning using lingu...