Early Warning System Framework Proposal Based on Structured Analytical Techniques, SNA, and Fuzzy Expert System for Different Industries (CROSBI ID 58334)
Prilog u knjizi | izvorni znanstveni rad
Podaci o odgovornosti
Klepac, Goran ; Kopal, Robert ; Mršić, Leo ;
engleski
Early Warning System Framework Proposal Based on Structured Analytical Techniques, SNA, and Fuzzy Expert System for Different Industries
Early warning systems are made with purpose to efficiently recognize deviant and potentially dangerous trends related to company business as early as possible and with significant relevance. There are numerous ways to set up early warning systems within company. Those solutions are often based on single data mining methods, and they rarely provide the holistic and qualitative approach needed in modern market uncertainty conditions. This chapter gives a novel concept for early warning system design within company, applicable in different industries. The core of the proposed framework is hybrid fuzzy expert system, which can contain a variety of data mining predictive models responsible for some specific areas in addition to traditional rule blocks. It can also include social network analysis metrics based on linguistic variables and incorporated within rule blocks. As part of this framework, SNA methods are also explained and introduced as a very powerful and unique tool to be used in modern early warning systems.
Betweenness Centrality: EWS: Early Warning Systems.
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Podaci o prilogu
763-796.
objavljeno
Podaci o knjizi
Handbook of Research on Artificial Intelligence Techniques and Algorithms (2 Volumes)
Pandian Vasant (Universiti Teknologi Petronas, Malaysia)
IGI Global
2015.
0-553-57777-8
Povezanost rada
Informacijske i komunikacijske znanosti, Računarstvo