Design Limitations, Errors and Hazards in Creating Decision Support Platforms with Large- and Very Large-Scale Data and Program Cores

Autor: Nikolaos V. Karadimas, Constantin Papaodysseus, Elias Koukoutsis, George Tsavdaridis, Athanasios Ballis, Athanasios Rafail Mamatsis, Eirini Mamatsi
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Decision support system
very large-scale data and program cores of information systems
lcsh:T55.4-60.8
Computer science
computational methods list
very large-scale decision support systems
0211 other engineering and technologies
02 engineering and technology
teleological meta-database
lcsh:QA75.5-76.95
external sources
Theoretical Computer Science
Task (project management)
Reduction (complexity)
geographically dispersed systems
0502 economics and business
Information system
lcsh:Industrial engineering. Management engineering
meta-database
Complex problems
thematic list
050210 logistics & transportation
Numerical Analysis
021103 operations research
05 social sciences
Large scale data
Computational Mathematics
Core (game theory)
Computational Theory and Mathematics
Risk analysis (engineering)
Work (electrical)
indicators list
lcsh:Electronic computers. Computer science
Zdroj: Algorithms
Volume 13
Issue 12
Algorithms, Vol 13, Iss 341, p 341 (2020)
ISSN: 1999-4893
DOI: 10.3390/a13120341
Popis: Recently, very large-scale decision support systems (DSSs) have been developed, which tackle very complex problems, associated with very extensive and polymorphic information, which probably is geographically highly dispersed. The management, updating, modification and upgrading of the data and program core of such an information system is, as a rule, a very difficult task, which encompasses many hazards and risks. The purpose of the present work was (a) to list the more significant of these hazards and risks and (b) to introduce a new general methodology for designing decision support (DS) systems that are robust and circumvent these risks. The core of this new approach was the introduction of a meta-database, called teleological, on the base of which management, updating, modification, reduction, growth and upgrading of the system may be safely and efficiently achieved. The very same teleological meta-database can be used for the construction of a sound decision support system, incorporating elements of a previous one at a future stage.
Databáze: OpenAIRE
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