… a consensus reaching process (CRP) able to smooth disagreements between the experts
… However, the process of obtaining weights by using fuzzy linguistic quantifier overlooks the …

… As such, the adjustment cost may be reduced in the process of consensus reaching
regardless of whether the small weights of other local CENs are caused by the small number of …

… consensus models have been proposed by different authors in the literature to facilitate
consensus reaching processes. … experts, which will be based on experts’ importance weights, we …

… the experts involved in the GDM process reach a consensus. … the final results after a consensus
has been reached in GDM. … For the second method mentioned above the three weights …

… a set of experts reach a high degree of consensus amongst their … -stage method to support
the consensus reaching process for … expert weights for reaching a new group decision. The …

… Then, we design a new consensus determining mechanism using the weight stability … on
the consensus reaching process. Traditional methods are usually based on experts’ knowledge …

… consensus reaching process (CRP), which is convergent and able to enhance the group
consensus level. … In order to calculate the weight vector, we introduce information measures into …

… consensus model to manage non-cooperative behaviors among experts and a mechanism
to generate experts’ weights … consensus process leads the experts to consider the choice x3 …

… proposes a new method for adjusting the weights of experts. By moderately adjusting the …
a new method for adjusting expert weights to optimize subsequent decisions when experts are …

… on the decision-making process, which is decomposed into … a high-trust but low-consensus
expert can reduce the cost of … that the weights here depend on the trust degrees of experts, …