The intuitionistic fuzzy soft set (IFSS) is a vital technique for tackling uncertainty while the
collection of information with the help of the membership function having values from unit …

Compared with group decision making (GDM), it is more difficult to reach a consensus in
large-scale group decision making (LSGDM) owing to the large number of decision makers …

The theory of SS t-norm and t-conorm was derived by Schweizer and Sklar in 1960 by
involving a parameter Γ¯¯, which are more flexible and valuable to manage awkward and …

In fuzzy large group decision making methods, an effective clustering method can greatly
reduce the complexity of decision making, and it is an important ingredient for reaching a …

For complex last mile problems, the parcel lockers play an important role in urban areas. So,
selecting a suitable location is very much crucial to provide optimal service and better …

In clustering process, fuzzy partition performs better than hard partition when the boundaries
between clusters are vague. Whereas, traditional fuzzy clustering algorithms produce less …

As a means of identifying, preventing, and controlling potential system failures, failure mode
and effect analysis (FMEA) has been extensively applied in many industries. However, the …

With the development of social media, social networks (SNs) have gradually become the link
of information exchange between people. The social trust network (STN), a typical SN, is …

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 …

Multi-attribute group decision-making (MAGDM) is an interesting technique to find the most
optimal alternative among comparative alternatives. Several authors put forward to MAGDM …