Team Situation Awareness using Web-Based Fuzzy Group Decision Support Systems

In this work, we propose an argumentation-based dialogue model designed for Web-based Group Decision Support Systems, that considers the decision-makers’ intentions. The intentions are modeled as behavior styles which allow agents to interact with each other as humans would in face-to-face meetings. In addition, we propose a set of arguments that can be used by the agents to perform and evaluate requests, while considering the agents’ behavior style. The inclusion of decision-makers’ intentions intends to create a more reliable and realistic process. Our model proved, in different contexts, that higher levels of consensus and satisfaction are achieved when using agents modeled with behavior styles compared to agents without any features to represent the decision-makers’ intentions.

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Predicting satisfaction: Perceived decision quality by decision-makers in Web-based group decision support systems

Neurocomputing ◽

10.1016/j.neucom.2018.05.126 ◽

2019 ◽

Vol 338 ◽

pp. 399-417 ◽

Cited By ~ 8

Author(s):

João Carneiro ◽

Pedro Saraiva ◽

Luís Conceição ◽

Ricardo Santos ◽

Goreti Marreiros ◽

...

Keyword(s):

Decision Support ◽

Decision Support Systems ◽

Group Decision ◽

Support Systems ◽

Group Decision Support ◽

Decision Makers ◽

Group Decision Support Systems ◽

Decision Quality ◽

Web Based

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Group Decision Support Systems in the Classroom

Computers in the Schools ◽

10.1300/j025v11n03_08 ◽

1995 ◽

Vol 11 (3) ◽

pp. 73-78

Author(s):

Milam Aiken ◽

Steve Strombeck ◽

Joyce Morrison

Keyword(s):

Decision Support ◽

Decision Support Systems ◽

Group Decision ◽

Support Systems ◽

Group Decision Support ◽

Group Decision Support Systems

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Evolutionary Systems Design: Policy Making under Complexity and Group Decision Support Systems

Journal of the Operational Research Society ◽

10.2307/2583142 ◽

1989 ◽

Vol 40 (11) ◽

pp. 1053

Author(s):

Leopold A. Ziegler ◽

Melvin F. Shakun

Keyword(s):

Decision Support ◽

Decision Support Systems ◽

Policy Making ◽

Group Decision ◽

Support Systems ◽

Systems Design ◽

Group Decision Support ◽

Group Decision Support Systems ◽

Evolutionary Systems ◽

Evolutionary Systems Design

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Group Decision Support Systems

E-Collaboration ◽

10.4018/978-1-60566-652-5.ch008 ◽

2009 ◽

pp. 82-89

Author(s):

John Wang ◽

James Yao

Keyword(s):

Decision Making ◽

Information Technology ◽

Decision Support ◽

Decision Support Systems ◽

Group Decision ◽

Support Systems ◽

Group Support Systems ◽

Group Decision Support ◽

Group Decision Support Systems

Group decision support systems (GDSSs) which aim at increasing some of the benefits of collaboration and reducing the inherent losses are interactive information technology-based environments that support concerted and coordinated group efforts toward completion of joint tasks (Dennis, George, Jessup, Nunamaker, & Vogel, 1998). The term group support systems (GSSs) was coined at the start of the 1990’s to replace the term GDSS. The reason for this is that the role of collaborative computing was expanded to more than just supporting decision making (Patrick & Garrick, 2006). For the avoidance of any ambiguities, the latter term shall be used in the discussion throughout this paper

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Decision Models and Group Decision Support Systems for Emergency Management and City Resilience

Research Anthology on Decision Support Systems and Decision Management in Healthcare, Business, and Engineering ◽

10.4018/978-1-7998-9023-2.ch035 ◽

2021 ◽

pp. 723-740

Author(s):

Yumei Chen ◽

Xiaoyi Zhao ◽

Eliot Rich ◽

Luis Felipe Luna-Reyes

Keyword(s):

Decision Support ◽

Emergency Management ◽

Decision Support Systems ◽

Group Decision ◽

Support Systems ◽

Group Decision Support ◽

Group Decision Support Systems ◽

Decision Models ◽

Graduate Course ◽

Coastal Cities

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.

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