Group Decision Making Based on Artificial Intelligence

Dear Colleagues,

In the scope of decision support systems, which were at first designed as individual tools, the problem of group decision making has gained great importance. Individual tools have been quickly demonstrated to be limited, in the sense that in today’s organizations several decision makers are involved in most of the decision processes. To deal with such decision problems, a promising approach is to unify group decision support systems and artificial intelligence (AI). AI attempts to mimic human decision making in some capacity, and advances in AI have shown important promise in improving and assisting human decision making, in particular in real-time and complex environments. When AI techniques are used, the resulting systems are referred to as intelligent group decision support systems.

The purpose of this Special Issue is to gather a collection of articles reflecting the latest developments in the design of intelligent group decision support systems that use AI techniques, such as machine learning, Bayesian networks, neural networks, fuzzy logic, and others, to improve and enhance support for decision makers in solving difficult applied problems that involve large amounts of data, are often real-time, and benefit from complex reasoning.

Prof. Francisco Javier Cabrerizo
Prof. Ignacio Javier Pérez
Prof. Dr. Jose Maria Merigo
Dr. Enrique Herrera-Viedma
Guest Editors

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