This study investigates linguistic information-based granular computing for supporting multi-
attribute group decision-making where relative importance of experts/attributes, and …

This study focuses on linguistic information operational realization through information
granulation in group decision-making (GDM) scenarios where the preference information …

An adaptive consensus model based on fuzzy information granulation (fuzzy IG) is
presented for group consensus decision-making problems with multiplicative linguistic …

Group decision-making is an everyday evaluation activity in which a panel of decision-
makers offers their preferences for obtaining the final results to solve decision problems. In …

This paper proposes a novel consensus reaching model for multi-attribute group decision
making (MAGDM) with information represented by means of linguistic distribution …

As the number of participants involves in decisions getting complex and the heterogeneity
could be produced among decision makers, a large-scale group decision making (LGDM) …

To address the challenge of facilitating overall problem solving and improving the overall
efficiency of intelligent systems efforts through group decision making (GDM) by experts at …

Social network (SN) provides a new perspective for large-scale multi-attribute group
decision making (LMAGDM), and the scale and complexity of group compositions have …

The large-scale group decision-making (GDM) problems with linguistic information have
received more and more attentions; however, how to effectively manage the linguistic …

In linguistic large-scale group decision making (LSGDM), it is often necessary to achieve a
consensus. Particularly, when computing with words and linguistic decision, we must keep …