An Empirical Investigation of Integrated Multicriteria Group Decision Models in a Simulation/Gaming Context

1990 ◽  
Vol 21 (1) ◽  
pp. 27-47 ◽  
Author(s):  
John F. Affisco ◽  
Michael N. Chanin
Author(s):  
Yumei Chen ◽  
Xiaoyi Zhao ◽  
Eliot Rich ◽  
Luis Felipe Luna-Reyes

This paper introduces the concept of Group Decision Support Systems (GDSS) as a tool to support emergency management and resilience in coastal cities. As an illustration of the potential value of GDSS, we discuss the use of the Pointe Claire teaching case. Participants in the exercise work in groups to approach the case using four different computer-supported decision models to explore and recommend policies for emergency mitigation and city resilience. The case, as well as the decision models, can be a valuable GDSS tool, particularly in the mitigation stages of the emergency management cycle. We present preliminary results from the use of the case, models and a simulation environment in a graduate course. We finish the paper by presenting our experience as a framework for building more efficient and secure emergency management systems through the use of GDSS.


1987 ◽  
Vol 17 (6) ◽  
pp. 913-919 ◽  
Author(s):  
Leonard Adelman ◽  
Rebecca M. Pliske ◽  
Paul E. Lehner

2008 ◽  
Vol 364 (1518) ◽  
pp. 807-819 ◽  
Author(s):  
Larissa Conradt ◽  
Timothy J Roper

Social animals regularly face consensus decisions whereby they choose, collectively, between mutually exclusive actions. Such decisions often involve conflicts of interest between group members with respect to preferred action. Conflicts could, in principle, be resolved, either by sharing decisions between members (‘shared decisions’) or by one ‘dominant’ member making decisions on behalf of the whole group (‘unshared decisions’). Both, shared and unshared decisions, have been observed. However, it is unclear as to what favours the evolution of either decision type. Here, after a brief literature review, we present a novel method, involving a combination of self-organizing system and game theory modelling, of investigating the evolution of shared and unshared decisions. We apply the method to decisions on movement direction. We find that both, shared and unshared, decisions can evolve without individuals having a global overview of the group's behaviour or any knowledge about other members' preferences or intentions. Selection favours unshared over shared decisions when conflicts are high relative to grouping benefits, and vice versa. These results differ from those of group decision models relating to activity timings. We attribute this to fundamental differences between collective decisions about modalities that are disjunct (here, space) or continuous (here, time) with respect to costs/benefits.


2018 ◽  
Vol 7 (2) ◽  
pp. 35-50
Author(s):  
Yumei Chen ◽  
Xiaoyi Zhao ◽  
Eliot Rich ◽  
Luis Felipe Luna-Reyes

This paper introduces the concept of Group Decision Support Systems (GDSS) as a tool to support emergency management and resilience in coastal cities. As an illustration of the potential value of GDSS, we discuss the use of the Pointe Claire teaching case. Participants in the exercise work in groups to approach the case using four different computer-supported decision models to explore and recommend policies for emergency mitigation and city resilience. The case, as well as the decision models, can be a valuable GDSS tool, particularly in the mitigation stages of the emergency management cycle. We present preliminary results from the use of the case, models and a simulation environment in a graduate course. We finish the paper by presenting our experience as a framework for building more efficient and secure emergency management systems through the use of GDSS.


1979 ◽  
Vol 12 (2) ◽  
pp. 82-86
Author(s):  
Karen Friedel ◽  
Jo-Ida Hansen ◽  
Thomas J. Hummel ◽  
Warren F. Shaffer

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