scholarly journals Development of Elements of an Intelligent High-Performance Platform of a Distributed Decision Support System for Monitoring and Diagnostics of Technological Objects

2020 ◽  
pp. 614-626
Author(s):  
Vladimir Bukhtoyarov ◽  
Vadim Tynchenko ◽  
Eduard Petrovsky ◽  
Kirill Bashmur ◽  
Roman Sergienko
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
High Performance ◽  
Monitoring And Diagnostics ◽  
Distributed Decision

A Distributed Scenario-Based Decision Support System for Robust Decision-Making in Complex Situations

2011 ◽  
Vol 3 (4) ◽  
pp. 17-35 ◽  
Author(s):  
Tina Comes ◽  
Niek Wijngaards ◽  
Michael Hiete ◽  
Claudine Conrado ◽  
Frank Schultmann
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Emergency Management ◽  
Support System ◽  
Irrelevant Information ◽  
Informed Decision Making ◽  
Processing Information ◽  
Flexible Adaptation ◽  
Distributed Decision

Decision-making in emergency management is a challenging task as the consequences of decisions are considerable, the threatened systems are complex and information is often uncertain. This paper presents a distributed system facilitating better-informed decision-making in strategic emergency management. The construction of scenarios provides a rationale for collecting, organising, and processing information. The set of scenarios captures the uncertainty of the situation and its developments. The relevance of scenarios is ensured by gearing the scenario construction to assessing alternatives, thus avoiding time-consuming processing of irrelevant information. The scenarios are constructed in a distributed setting allowing for a flexible adaptation of reasoning (principles and processes) to both the problem at hand and the information available. This approach ensures that each decision can be founded on a coherent set of scenarios. The theoretical framework is demonstrated in a distributed decision support system by orchestrating experts into workflows tailored to each specific decision.

A distributed decision support system for strategic planning

1997 ◽  
Vol 20 (1) ◽  
pp. 35-51 ◽  
Author(s):  
Suzanne D. Pinson ◽  
Jorge Anacleto Louçã ◽  
Pavlos Moraitis
Keyword(s):  
Decision Support ◽  
Strategic Planning ◽  
Decision Support System ◽  
Support System ◽  
Distributed Decision

scholarly journals A Dynamic Decision Support System for Selection of Cloud Storage Provider

2021 ◽  
Vol 11 (23) ◽  
pp. 11296
Author(s):  
Abdul Mateen ◽  
Seung Yeob Nam ◽  
Muhammad Ali Haider ◽  
Abdul Hanan
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Cloud Storage ◽  
High Performance ◽  
Complex Problem ◽  
Test Cases ◽  
Web Based ◽  
Cloud Environments ◽  
Selection Of

In recent years, the cloud computing model has gained increasing attention and popularity in the field of information technology. For this reason, people are migrating their applications to public, private, or hybrid cloud environments. Many cloud vendors offer similar features with varying costs, so an appropriate choice will be the key to guraranteeing comparatively low operational costs for an organization. The motivation for this work is the necessity to select an appropriate cloud storage provider offering for the migration of applications with less cost and high performance. However, the selection of a suitable cloud storage provider is a complex problem that entails various technical and organizational aspects. In this research, a dynamic Decision Support System (DSS) for selection of an appropriate cloud storage provider is proposed. A web-based application is implemented using PHP and MySQL to facilitate decision makers. The proposed mechanism has been optimized in a way that enables the system to address static database issues for which a user might not acquire the best solution. It focuses on comparing and ranking cloud storage providers by using two modules: scraping and parsing. The evaluation of the proposed system is carried out with appropriate test cases and compared with existing tools and frameworks.

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