Complex and uncertain decision-making environment increasingly requires the
collaborations of participants, the exchange and interaction of knowledge of different actors …

As a powerful efficiency evaluation tool, cross-efficiency measurement in data envelopment
analysis (DEA) has been proverbially concerned. However, most of existing studies on cross …

Considering the uncertainty of large group decision-making and the limitation of resources,
this paper constructs a large group decision-making method with hesitant fuzzy linguistic …

Chinese E-commerce market is increasingly saturated, fierce competition has spawned a
new E-commerce model: more and more enterprises set up direct-sale stores on online …

Data envelopment analysis (DEA) is a powerful nonparametric approach for assessing the
performance of decision making units (DMUs). Traditional DEA models usually utilize a self …

Cross efficiency (CE) evaluation in data envelopment analysis (DEA) has significant
advantages in ranking decision making units (DMUs). A variety of CE evaluation methods …

Large-scale group decision-making (LSGDM) is a complex process involving numerous
decision-makers (DMs). However, considering such a large number of DMs increases the …

In combination with social networks, opinion dynamics models can effectively describe the
interaction and exchange of opinions between experts in social network group decision …

The choice of an optimal airport for local businesses for any traveling purpose due to the
complexity of the access to the global market could be considered a group decision-making …

Data envelopment analysis models can be used to measure efficiency performance and
yield an improvement target for the evaluated decision-making units. However, such models …