@misc{10481/5674,
year = {2010},
url = {http://hdl.handle.net/10481/5674},
abstract = {Two processes are necessary to solve group
decision making problems: a consensus process and a
selection process. The consensus process is necessary
to obtain a nal solution with a certain level of agreement between the experts while the selection process
is necessary to obtain such a nal solution. Clearly, it
is preferable that the set of experts reach a high degree of consensus before applying the selection process.
In order to measure the degree of consensus, different
approaches have been proposed. For example, we can
use hard consensus measures, which vary between 0 (no
consensus or partial consensus) and 1 (full consensus),
or soft consensus measures, which assess the consensus degree in a more exible way. The aim of this paper is to analyze the different consensus approaches in
fuzzy group decision making problems and discuss their
advantages and drawbacks. Additionally, we study the
future trends.},
keywords = {Group decision making},
keywords = {Consensus process},
keywords = {Soft consensus measures},
keywords = {Future trends},
title = {Analyzing consensus approaches in fuzzy group decision making: advantages and drawbacks},
author = {Cabrerizo, F.J. and Moreno, J. M. and Pérez, I. J. and Herrera Viedma, Enrique},
}