scholarly journals Critical infrastructure protection decision support system decision model : overview and quick-start user's guide.

2008 ◽  
Author(s):  
M. Samsa ◽  
J. Van Kuiken ◽  
M. Jusko
2021 ◽  
Vol 5 (01) ◽  
pp. 12-22
Author(s):  
Rayinda Pramuditya Soesanto ◽  
Afrin Fauzya Rizana

Wedding organizers, as one of the creative industries, often participate in a trade show as one of the marketing mediums. Many wedding-related trades show events are held every year. But the cost to participate in one trade show event is quite expensive and increases from time to time. Thus, before deciding to participate in a trade show, it is important to evaluate whether the trade show events are recommended to join or not. The purpose of this study is to design a decision support system that will help the wedding organizer to decide their participation in a trade show. The decision model was constructed using AHP and TOPSIS methods. There are seven factors considered in the model, i.e., tradeshow location, reputation and professionalism of the organizer, cost estimation, trade show prestige, tenant reputation, time of the event, the attractiveness of the event. By using the AHP method, the priority weight of each factor was calculated. Moreover, the weight obtained will be used in developing a decision model combined with the TOPSIS method. The decision support system was developed afterward by using the SCRUM method. The feature of the system is discussed in the paper.


2020 ◽  
Author(s):  
Kevin Bjella ◽  
Yuri Shur ◽  
Misha Kanevskiy ◽  
Paul Duvoy ◽  
Bruno Grunau ◽  
...  

The U.S. Department of Defense (DoD) operates numerous Arctic and Subarctic installations, including Alaska. Changes to permafrost can threaten critical built infrastructure. It is critical to accurately characterize and compare site conditions in permafrost regions to enable the efficient, cost-effective design and construction of an infrastructure well suited to the permafrost environment and that meets DoD requirements. This report describes three research efforts to establish (1) field investigation approaches for ground ice detection and delineation, (2) methods and modeling for early warning detection of thawing permafrost under infrastructure, and (3) an outline of a decision support system that determines the most applicable foundation design for warming and degrading permafrost. Outcomes of these interrelated efforts address needs to improve construction of DoD mission critical infrastructure on Arctic and Subarctic permafrost terrains. Field investigation processes used systematic methodologies including borehole data and geophysical measurements to effectively characterize subsurface permafrost information. The Permafrost Foundation Decision Support System (PFFDSS) tool implements and logically links field survey information and foundation type assessments. The current version of PFFDSS is designed to be accessible to design-engineers of a broad range of experience, that will reduce the effort and cost, and improve the effectiveness of site assessment.


2019 ◽  
Vol 3 (1) ◽  
pp. 46-51
Author(s):  
Triyanti Kusuma Bangsa ◽  
Mohammad Sofyan S. Thayf ◽  
Marlina Marlina

The problem at PT. TMCI is that the lab part is still confused in determining the quality of some cocoa beans, because there is no average calculation. So that the quality of cocoa depends only on the specified parameters, and the moisture content, the count of cocoa beans as the first determinant of quality. The purpose of this study is to make a decision model in a decision making with the Multidimensional Scaling method, and a decision support system as a decision maker in determining the quality of cocoa beans, and implementing a decision support system and calculation of MDS metrics with several parameters, namely based on moisture content, moudly, broken beans, weight of waste, number of cocoa beans and flat cocoa beans. Then apply the MDS method in an Android-based application system, so that from the calculation results can determine which quality is good and which will be mixed again. Data collection is done by observing conditions directly, and conducting interviews. From the results of testing implementation, interviews and testing applications, that the application works properly when used. In terms of appearance and function the application can help the lab and the owner at the time of supplying supplier data. So it was concluded that this application could be well received and answer the problems of the lab and the owner.


2019 ◽  
Vol 2 (6) ◽  
pp. 154-163
Author(s):  
Hennadii Hulak ◽  
Valeriy Lakhno

The topical problem of making the optimal decision on financing pro-jects in the field of cybersecurity in the conditions of active actions of cybersecu-rity violators is considered. A model has been developed for a decision support system for financing projects for the creation and development of cybersecurity management centers for critical infrastructure facilities. The model assumes meth-ods and means of actively countering the attacking side. In contrast to existing approaches, the model is based on solving a bilinear differential quality game with several terminal surfaces. A discrete approximation method was used in the solution. This made it possible to find a solution to the bilinear differential quality game with dependent movements. The results of a computational experiment within the framework of the software implementation of a decision support sys-tem in the field of financing projects in the field of cybersecurity, in particular, in the creation and development of cybersecurity management centers for critical in-frastructure facilities are described. The developed decision support system al-lows obtaining optimal financing strategies by the side of cybersecurity protec-tion. In this case, any ratio of parameters describing the financing process is con-sidered, no matter how financially the attacker (hackers) acted.


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