A multicriteria technique named fuzzy compromise programming is combined with a methodology known as group decision making under fuzziness to come up with a new technique that supports decision making with multiple criteria and multiple participants (or experts). All criteria (qualitative and quantitative) are modeled by way of fuzzy sets, utilizing the fact that criteria values in most water r...

We propose a probabilistic-logical framework for group decision-making. Its main characteristic is that we derive group preferences from agents’ beliefs and utilities rather than from their individual preferences as done in social choice approaches. This can be more appropriate when the individual preferences hide too much of the individuals’ opinions that determined their preferences. We intro...

This paper presents a theory and computational model of the role of emotions in group decision making. After reviewing the role of emotions in individual decision making, it describes social and psychological mechanisms by which emotional and other information is transmitted between individuals. The processes by which these mechanisms can contribute to group consensus are modeled computationall...

The homogeneous requirement of the AHP has stifled its general application and thus hindered the further development of group decision making, which is becoming increasingly popular with the multi-business corporations. In this paper, we adopted the correlation degree of individual preference vectors as the measurement of individuals similarity based on AHP vector space VAHP proposed by Zahir i...

Salem Chakhar is with the Portsmouth Business School in the Operations & Systems Management subject group. Salem Chakhar has a PhD in Computer Science from the University of Paris-Dauphine (Paris, France), an MPhil degree in Computer Science and Modelling from the High School of Management of Tunis (Tunis, Tunisia), and a degree in Computer Science from the Faculty of Economics and Management, ...

The sequential probability ratio test (SPRT) and related drift-diffusion model (DDM) are optimal for choosing between two hypotheses using the minimal (average) number of samples and relevant for modeling the decision-making process in human observers. This work extends these models to group decision making. Previous works have focused almost exclusively on group accuracy; here, we explicitly a...

This paper presents a theory and computational model of the role of emotions in group decision making. After reviewing the role of emotions in individual decision making, it describes social and psychological mechanisms by which emotional and other information is transmitted between individuals. The processes by which these mechanisms can contribute to group consensus are modeled computationall...

A guiding premise of occupational therapy practice is that it is beneficial to allow clients freedom of choice in selecting and participating in activities. This study examined subjects' affective responses to having or lacking freedom of choice in completing an activity and explored how those responses might differ when subjects did the activity in individual as opposed to group settings. Fort...

In this paper we introduce a multi-stage decision making procedure where decision makers sort the alternatives by means of a fixed set of linguistic categories, each one has associated a numerical score. First we average the scores obtained by each alternative and we consider the associated collective preference. Then, we obtain a distance between each individual preference and the collective o...