Review paper

A trust-similarity analysis-based clustering method for large-scale group decision-making under a social network

Volume: 63, Pages: 13 - 29
Published: Nov 1, 2020
Abstract
Large-scale group decision-making (LSGDM) under a social network context has attracted much attention in the field of decision science. The clustering of individual opinions and the handling of trust relationships are the main research topics. Opinion similarity and trust relationship are considered to be two important measurement attributes for implementing clustering. Traditional clustering methods often use a single attribute to divide the...
Paper Details
Title
A trust-similarity analysis-based clustering method for large-scale group decision-making under a social network
Published Date
Nov 1, 2020
Volume
63
Pages
13 - 29
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