Now showing items 1-6 of 6
Managing Incomplete Preference Relations in Decision Making: A Review and Future Trends
In decision making, situations where all experts are able to efficiently express their preferences over all the available options are the exception rather than the rule. Indeed, the above scenario requires all experts to ...
A New Selection Process Based on Granular Computing for Group Decision Making Problems
(Springer International Publishing Switzerland, 2015-05)
In Group Decision Making, there are situations in which the decision makers may not be able to provide his/her opinions properly and they could contain contradictions. To avoid it, in this contribution, we present a new ...
GDM-VieweR: A new tool in R to visualize the evolution of fuzzy consensus processes
With the incorporation of web 2.0 frameworks the complexity of decision making situations has exponentially increased, involving in many cases many experts, and a huge number of different alternatives. In the literature ...
Fuzzy decision making and consensus: challenges
(IOS Press, 2015-10)
Group decision making is part of every organizational life. It is a type of participatory process in which multiple decision makers acting collectively, analyze problems, consider and evaluate several alternatives, and ...
Confidence-consistency driven group decision making approach with incomplete reciprocal intuitionistic preference relations
Intuitionistic preference relations constitute a flexible and simple representation format of experts’ preference on a set of alternative options, while at the same time allowing to accommodate degrees of hesitation inherent ...
Analyzing Consensus Measures in Group Decision Making
In Group Decision Making (GDM) problems before to obtain a solution a high level of consensus among experts is required. Consensus measures are usually built using similarity functions measuring how close experts’ opinions ...