Large scale group decision making (LGDM) problems and social network analysis (SNA)
methods are both attracting increasing attention, and SNA methods are useful for …

Experts are assumed to be mutually independent and incomplete decision matrices are
used, in traditional large-scale group decision-making (LSGDM). Social network analysis …

This article focuses on employing the dynamic programming algorithm to solve the large-
scale group decision-making problems, where the preference information takes the form of …

Large-scale group decision making (LSGDM) is characterized by a large number of
participators, multiple groups and a mass of decision data provided by the participators. With …

In order to deal with the fuzzy large-scale multiple-criteria group decision-making
(FLMCGDM) problems, this paper incorporates clustering analysis and information …

Due to the vagueness of real-world environments and the subjective nature of human
judgments, it is natural for experts to estimate their judgements by using incomplete interval …

Due to the development of network technology, large-scale group decision making (LSGDM)
has become increasingly concerned. In this paper, a k-core decomposition-based opinion …

Chen [2] extended the TOPSIS to a fuzzy environment. In his work, a vertex method was
proposed to measure the distance between two given triangular fuzzy numbers. He further …

Multi-attribute group decision making (MAGDM) is an important research topic in decision
theory. In recent decades, many useful methods have been proposed to solve various …

Interval type-2 fuzzy sets (IT2 FSs) are a very useful means to depict the decision information
in the process of decision making. In this article, we investigate the group decision making …