scholarly journals The effects of scale and information distribution on group decision-making processes and outcomes

2006 ◽  
Author(s):  
Mark J. Landis
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Information Distribution ◽  
Decision Making Processes

A Tool for Assisting Group Decision-Making for Consensus Outcomes in Organizations

2009 ◽  
pp. 941-963
Author(s):  
Faezeh Afshar ◽  
John Yearwood ◽  
Andrew Stranieri
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Computational Intelligence ◽  
Group Decision ◽  
Shared Understanding ◽  
Deliberative Process ◽  
Computer Mediated ◽  
Decision Making Processes ◽  
Cooperative Decision Making

This chapter introduces an approach, ConSULT (Consensus based on a Shared Understanding of a Leading Topic), to enhance group decision-making processes within organizations. ConSULT provides a computer-mediated framework to allow argumentation, collection and evaluation of discussion and group decision-making. This approach allows for the articulation of all reasoning for and against propositions in a deliberative process that leads to cooperative decision-making. The chapter argues that this approach can enhance group decision-making and can be used in conjunction with any computational intelligence assistance to further enhance its outcome. The approach is particularly applicable in an asynchronous and anonymous environment.

FAIR CONSISTENCY EVALUATION FOR RECIPROCAL RELATIONS AND IN GROUP DECISION MAKING

2009 ◽  
Vol 05 (02) ◽  
pp. 407-420 ◽  
Author(s):  
MICHELE FEDRIZZI ◽  
MATTEO BRUNELLI
Keyword(s):  
Decision Making ◽  
Decision Maker ◽  
Group Decision Making ◽  
Evaluation Method ◽  
Group Decision ◽  
Pairwise Comparison ◽  
Pairwise Comparisons ◽  
Reciprocal Relations ◽  
Decision Making Processes ◽  
Consistency Evaluation

In decision-making processes, it often occurs that the decision maker is asked to pairwise compare alternatives. His/her judgements over a set of pairs of alternatives can be collected into a matrix and some relevant properties, for instance, consistency, can be estimated. Consistency is a desirable property which implies that all the pairwise comparisons respect a principle of transitivity. So far, many indices have been proposed to estimate consistency. Nevertheless, in this paper we argue that most of these indices do not fairly evaluate this property. Then, we introduce a new consistency evaluation method and we propose to use it in group decision making problems in order to fairly weigh the decision maker's preferences according to their consistency. In our analysis, we consider two families of pairwise comparison matrices: additively reciprocal pairwise comparison matrices and multiplicatively reciprocal pairwise comparison matrices.

scholarly journals THE ROLE OF AGE AND GENDER IN GROUP DECISION-MAKING PROPENSITY

2020 ◽  
Author(s):  
Juliana Osmani ◽  
◽  
Keyword(s):  
Decision Making ◽  
Young People ◽  
Group Decision Making ◽  
Group Decision ◽  
Complex Environment ◽  
Age And Gender ◽  
Participatory Processes ◽  
Decision Making Processes ◽  
And Gender

Increasingly, organizations are oriented towards groups to make decisions. This is because some contextual factors have undergone significant changes. Companies are operating in a competitive, dynamic and complex environment, having to face with unstructured and non-programmed decisions. Organizations are also oriented towards participatory processes in order to benefit from the important advantages that these processes offer. The main goal of the current research is to understand if there is a correlation between group decision-making propensity, age and gender. The motivation for the current research starts from the consideration that the degree of preference for group decision-making processes determines the contribution and commitment of the members, with important consequences on the decisions’ effectiveness. The processing and analysis of the collected data indicate that adults prefer group decision-making processes more than young people and women prefer group decision-making processes less than men.

scholarly journals A Multiple Criteria Decision Analysis Framework for Dispersed Group Decision-Making Contexts

2020 ◽  
Vol 10 (13) ◽  
pp. 4614
Author(s):  
João Carneiro ◽  
Diogo Martinho ◽  
Patrícia Alves ◽  
Luís Conceição ◽  
Goreti Marreiros ◽  
...  
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Analysis ◽  
Group Decision Making ◽  
Group Decision ◽  
Group Decision Support ◽  
Decision Makers ◽  
Multiple Criteria Decision Analysis ◽  
Analysis Framework ◽  
Decision Making Processes

To support Group Decision-Making processes when participants are dispersed is a complex task. The biggest challenges are related to communication limitations that impede decision-makers to take advantage of the benefits associated with face-to-face Group Decision-Making processes. Several approaches that intend to aid dispersed groups attaining decisions have been applied to Group Decision Support Systems. However, strategies to support decision-makers in reasoning, understanding the reasons behind the different recommendations, and promoting the decision quality are very limited. In this work, we propose a Multiple Criteria Decision Analysis Framework that intends to overcome those limitations through a set of functionalities that can be used to support decision-makers attaining more informed, consistent, and satisfactory decisions. These functionalities are exposed through a microservice, which is part of a Consensus-Based Group Decision Support System and is used by autonomous software agents to support decision-makers according to their specific needs/interests. We concluded that the proposed framework greatly facilitates the definition of important procedures, allowing decision-makers to take advantage of deciding as a group and to understand the reasons behind the different recommendations and proposals.

A Tool for Assisting Group Decision-Making for Consensus Outcomes in Organizations

2011 ◽  
pp. 316-343 ◽  
Author(s):  
Faezeh Afshar ◽  
John Yearwood ◽  
Andrew Stranieri
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Computational Intelligence ◽  
Group Decision ◽  
Shared Understanding ◽  
Deliberative Process ◽  
Computer Mediated ◽  
Decision Making Processes ◽  
Cooperative Decision Making

This chapter introduces an approach, ConSULT (Consensus based on a Shared Understanding of a Leading Topic), to enhance group decision-making processes within organizations. ConSULT provides a computer-mediated framework to allow argumentation, collection and evaluation of discussion and group decision-making. This approach allows for the articulation of all reasoning for and against propositions in a deliberative process that leads to cooperative decision-making. The chapter argues that this approach can enhance group decision-making and can be used in conjunction with any computational intelligence assistance to further enhance its outcome. The approach is particularly applicable in an asynchronous and anonymous environment.

INTUITIONISTIC FUZZY DENSITY-BASED AGGREGATION OPERATORS AND THEIR APPLICATIONS TO GROUP DECISION MAKING WITH INTUITIONISTIC PREFERENCE RELATIONS

2014 ◽  
Vol 22 (01) ◽  
pp. 145-169 ◽  
Author(s):  
HUA ZHAO ◽  
ZESHUI XU ◽  
ZEQING YAO
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Aggregation Operators ◽  
Fuzzy Information ◽  
Information Distribution ◽  
Preference Relations ◽  
Intuitionistic Fuzzy ◽  
Fuzzy Aggregation

In fuzzy environments, some operators have been developed for aggregating intuitionistic fuzzy information which is expressed in pairs of the membership degrees and the non-membership degrees. However, the existing intuitionistic fuzzy aggregation operators cannot consider and reflect the density of intuitionistic fuzzy information distribution. To solve the issue, in this paper, we first develop some intuitionistic fuzzy density-based aggregation operators. Then by combining the developed operators with the existing intuitionistic fuzzy aggregation operators, we put forward some synthesized intuitionistic fuzzy aggregation operators. Furthermore, we utilize the synthesized intuitionistic fuzzy aggregation operators to develop an approach to group decision making based on intuitionistic preference relations, and illustrate our approach with a practical example of the evaluation of new medicines.

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