A fuzzy group decision making model for large groups of individuals

Authors:
S. Alonso;I. J. Pérez;F. J. Cabrerizo;E. Herrera-Viedma
Affiliations:
Software engineering Department, University of Granada, Spain;Computer Science and Artificial Intelligence Department, University of Granada;Department of Software Engineering and Computer Systems, Distance Learning University of Spain, Spain;Computer Science and Artificial Intelligence Department, University of Granada
Venue:
FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
Year:
2009

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Abstract

Group Decision Making (GDM) refers to the selection of an alternative from a set of feasible alternatives that better satisfies some criteria according to a group of individuals (experts). There exist several different models to simulate GDM processes, but many of those models do not usually take into account some dynamical aspects of real decision processes. for example, those models normally do not allow the experts set to change during the process (adding or removing experts), the alternatives to change (incorporating or discarding alternatives) or even to change the criteria. In this work we present a new model which allows to undertake GDM situations in which a large number of individuals (for example an on-line community) has to choose among different alternatives. To be able to obtain a good solution of consensus, the group of experts will be firstly simplified into a smaller group (using a simple clustering technique and a kind of trust network) which can then discuss about best solution to be selected.