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—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(More)
In group decision making (GDM) processes, prior to the selection of the best alterna-tive(s), it would be desirable that experts achieve a high degree of consensus or agreement between them. Due to the complexity of most decision making problems, individuals' preferences may not satisfy formal properties. 'Consistency' is one of such properties, and it is(More)
A crucial step in group decision making (GDM) processes is the aggregation of individual opinions with the aim of achieving a " fair " representation of each individual within the group. In multi-granular linguistic contexts where linguistic term sets with common domain but different granularity and/or semantic are used, the methodology widely applied until(More)
—The group decision-making framework with linguistic preference relations is studied. In this context, we assume that there exist several experts who may have different background and knowledge to solve a particular problem and, therefore, different linguistic term sets (multigranular linguistic information) could be used to express their opinions. The aim(More)
A summary table IS a tabular representation of summary data, and 1s a useful data structure for statlstlcal databases Prlnutlve summary tables are bas:c bulldmg blocks of summmy tables, and can be represented as relations with set-valued attributes In this paper, we propose a set of summary table mampulatlon operators that, together with an algebra of(More)
The reaching of consensus in group decision-making (GDM) problems is a common task in group decision processes. In this contribution , we consider GDM with linguistic information. Different experts may have different levels of knowledge about a problem and, therefore, different linguistic term sets (multi-granular linguistic information) can be used to(More)
Classic aggregation operators in group decision making such as the OWA, IOWA, C-IOWA, P-IOWA and I-IOWA have shown to be successful tools in order to provide flexibility in the aggregation of preferences. However, these operators do not take advantage of information related to the interaction between experts. Experts involved in a group decision making(More)
The need for achieving consensus in group decision making problems is a common and sometimes necessary task in a myriad of social and business environments. Different consensus reaching processes have been proposed in the literature to achieve agreement among a group of experts. Initially, such processes were guided by a human moderator, but afterwards,(More)