Decision situations in which several individual are involved known as group decision-making (GDM) problems. In such problems, each member of the group, recognizing existence a common problem, tries to come collective decision. A high level consensus among experts is needed before reaching solution. It customary construct measures by using similarity functions quantify closeness preferences. The use metric that describes distance between preferences allows definition functions. Different have...

Measuring agreement among participants in group decision-making problems is critical to such processes. This paper introduces a novel consensus index derived from the Gini coefficient, which avoids need for traditional aggregation matrices, simplifying calculations while maintaining robustness. The proposed Consensus Index demonstrates properties of reciprocity and boundedness, making it reliable alternative distance-based measures. Through comparative statistical analysis using Wilcoxon...

Interval fuzzy preference relations can be useful to express decision makers' preferences in group decision-making problems. Usually, we apply a selection process and consensus solve situation. In this paper, present model for problems with interval relations. This is based on two criteria, measure proximity measure, also the concept of coincidence among preferences. We compute both criteria three representation levels relation design an automatic feedback mechanism guide experts reaching...

Soft consensus is a relevant topic in group decision making problems. measures are utilized to reflect the different agreement degrees between experts leading reaching process. This may determine final and time needed reach it. The concept of coi ncidence has led two main approaches calculating soft measures, namely, concordance among expert preferences individual solutions. In first approach coincidence obtained by evaluating similarity preferences, while second one derived from measurement...

In Group Decision Making (GDM) problems before to obtain a solution high level of consensus among experts is required. Consensus measures are usually built using similarity functions measuring how close experts' opinions or preferences are. Similarity defined based on the use metric describing distance between preferences. literature, die rent have been proposed implement measures. This paper presents analyzes effect application some for in GDM. By nonparametric Wilcoxon matched-pairs...

In a problem of group decision-making it is desirable to obtain solution with the highest possible degree agreement –consensus- among participants. For this aim, necessary have tools that facilitate calculation consensus in reliable way. This study proposes index based on statistical measure variability preferences expressed by experts process and performs specific comparative between several known measures. The analysis shows situation proposed behaves similar way previous ones could play...

In Group Decision Making (GDM) problems before to obtain a solution high level of consensus among experts is required. Consensus measures are usually built using similarity functions measuring how close experts' opinions or preferences are. Similarity defined based on the use metric describing distance between preferences. Different have been proposed implement measures. This paper analyzes effect application different aggregation operators combined with for in GDM problems. It concluded...

Most of the group decision making methods used in e-government scenarios deal not only with a high number alternatives, but also large criteria. Sometimes, criteria are even most important think to manage. In such way, we propose use fuzzy ontologies order tackle this problem, dealing alternatives and Our application combines different using clustering method filter by appropriate each case process easier for experts. Finally, uses consensus reaching mechanism that collect knowledge stored ontology.

Group decision-making is a daily process where group of experts has to choose from set alternatives. To help this experts, methods were developed that allowed them recommend an alternative or alternatives the information generated by these called Decision-Making methods. Nonetheless, some have problems, such as evaluating in general way. This problem leads loss because it not possible evaluate each detail and may be case one better than another on criterion but another. Another priority for...

The mean absolute deviation and the standard deviation, two statistical measures commonly used in quantifying variability, may become an interesting tool when defining consensus measures. Two indexes which obtain level of some problems Group Decision Making are introduced this paper by expanding aforementioned concepts. A comparative analysis reveals that levels derived from these close to those obtained employing distance functions a fuzzy preference relations frame is considered, so they...

An important aspect to be considered in Group Decision Making problems is the study of consensus. Since these it desirable that final decision widely accepted, improving consensus degree a fair way very interesting task. This paper analyses improvement degrees -obtained by applying Manhattan distance- when experts' preferences are slightly modified using one properties Uniform distribution. We carry out an experimental shows enhancement different cases which extension has been applied, with...