Group Decision Support Systems for Emergency Management and Resilience: CoastalProtectSIM

Zhao, Xuezhi; Chen, Yumei; Ku, Minyoung; Rich, Eliot; Deegan, Michael; Luna‐Reyes, Luis F.

doi:10.24251/hicss.2017.301

Cited by 4 publications

(3 citation statements)

References 14 publications

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“…GDSS is a computer-based tool that is used to help determine selected alternatives from several alternatives available through the decision-making process by a group of people working together. In the GDSS concept everyone involved in alternative action actions exchanges ideas, opinions and preferences between one group member and another member to produce a series of joint decisions (Zhao et al, 2017;Instudor and Duta, 2010). Joint decision making certainly may involve a great number of decision makers and alternatives that are not only a few as well (Morente-Molinera et al, 2018) and, moreover, GDSS can also use incomplete information for decision making (Capuano et al, 2018;Lan et al, 2013).…”

Section: Group Decision Support Systems (Gdss)mentioning

confidence: 99%

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Group Decision Support System to Determine Regional Development Priority Using the Item-Based Clustering Hybrid Method

Setiyowati¹,

Sumiati²,

Sutarti³

et al. 2019

Journal of Computer Science

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Determination of regional development priorities is usually influenced by two factors, firstly the policy-making subjectivity (regional head) second to the results of the development data analysis. But both often do not go hand in hand because in fact subjectivity is more dominant than combining the two. The development of computational technology, especially in the area of decision support, provides space to solve various problems related to the decision making process. This study aims to develop a Group Decision Support System (GDSS) model for determining regional development priorities in the future. An alternative approach in the form of developing a GDSS model is carried out so that it can be used to determine regional development priorities that are able to combine analysis of data on development results and subjectivity of policy makers. It means, policy-enforcing subjectivity still exists but the results of development data analysis are also used. This model combines the GDSS concept, MVHAC cluster technique and Item-based Cluster Hybrid Method (ICHM) to accommodate joint decision making from each group decision maker. The results of the testing of the model developed against six regions in Banten Province show that there are three regions that must be prioritized in the future. Those are Pandeglang, Lebak and Kota Serang.

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Section: Group Decision Support Systems (Gdss)mentioning

confidence: 99%

“…GDSS is comprised of four primary components, namely people, hardware, software and procedure (Zhao et al, 2017). The model developed in this research focuses on modification of two constituent components of GDSS, namely people and procedure.…”

Section: Introductionmentioning

confidence: 99%

Group Decision Support System to Determine Regional Development Priority Using the Item-Based Clustering Hybrid Method

Setiyowati¹,

Sumiati²,

Sutarti³

et al. 2019

Journal of Computer Science

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“…The concept of group decision support has been used for various purposes such as the needs of human resource management planning [20], management and endurance of emergency conditions in coastal areas [21], also including an applications in the economic field [22].…”

Section: Group Decision Supportmentioning

confidence: 99%

Ranking Method in Group Decision Support to Determine the Regional Prioritized Areas and Leading Sectors using Garrett Score

Ismanto¹,

Suharto²,

Azhari³

et al. 2018

ijacsa

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The main objective of regional development is to achieve equal development in different regions. However, the long duration and complexity of the process may result in the unequal development of some regions. In order to achieve a fair development process for each region, a standard approach must be developed to select a suitable priority area that can support other underdeveloped regions that require attention. One of the approaches taken is to determine the prioritized areas and the leading sectors in the region where the region is expected to be a support for other regions that still need attention and handling on development priorities. This research was conducted to provide a new alternative in the process of determining the prioritized areas, not only by observing the development data, but also involving decision-making components consisting of government and community (including non-governmental organizations and academicians). This study used group decision support approach with the Garrett ranking technique. The results of the research on the determination of the prioritized areas using Garret Score showed that there are 5 of 29 Regencies/Municipalities in Papua Province that can be used as prioritized areas, namely Jayapura Regency, Jayapura Municipality, Mimika, Merauke and Nabire. Then, there are three leading sectors for development, namely agricultural, mining and Industrial and Processing sectors. The test of ranking results was conducted by calculating the Spearman's correlation coefficient of the Garrett ranking results and obtained a coefficient of 0.807 which means that the ranking results are very strong.

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

Chen

Zhao

Rich

et al. 2021

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

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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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Group Decision Support Systems for Emergency Management and Resilience: CoastalProtectSIM

Abstract: Abstract

Cited by 4 publications

References 14 publications

Group Decision Support System to Determine Regional Development Priority Using the Item-Based Clustering Hybrid Method

Group Decision Support System to Determine Regional Development Priority Using the Item-Based Clustering Hybrid Method

Ranking Method in Group Decision Support to Determine the Regional Prioritized Areas and Leading Sectors using Garrett Score

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

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