An Adaptive Consensus Support Model for Group Decision-Making Problems in a Multigranular Fuzzy Linguistic Context
An Adaptive Consensus Support Model for Group Decision-Making Problems in a Multigranular Fuzzy Linguistic Context
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DOI：
10.1109/tfuzz.2009.2013457
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发表时间：
2009-04
影响因子：
11.9
通讯作者：
F. Mata;Luis Martínez-López;E. Herrera-Viedma
中科院分区：
文献类型：
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作者：
F. Mata;Luis Martínez-López;E. Herrera-Viedma
不同的群体决策（GDM）问题的共识模型已在文献中提出。然而，他们都认为共识达成过程是一个僵化或不灵活的过程，因为它的行为是固定的，在所有回合的共识过程。本文的目的是改进定义在多粒度语言环境中的GDM问题的共识达成过程，即，通过使用不同基数的语言术语集来表示专家的偏好。为了做到这一点，我们提出了一个自适应共识支持系统模型，这种类型的决策问题，即，使其行为适应每一轮达成的协议的过程。这种自适应模型增加了共识的收敛性，因此减少了达到共识的回合数。
Different consensus models for group decision-making (GDM) problems have been proposed in the literature. However, all of them consider the consensus reaching process a rigid or inflexible one because its behavior remains fixed in all rounds of the consensus process. The aim of this paper is to improve the consensus reaching process in GDM problems defined in multigranular linguistic contexts, i.e., by using linguistic term sets with different cardinality to represent experts' preferences. To do that, we propose an adaptive consensus support system model for this type of decision-making problem, i.e., a process that adapts its behavior to the agreement achieved in each round. This adaptive model increases the convergence toward the consensus and, therefore, reduces the number of rounds to reach it.