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Early Warning System Framework Proposal Based on Structured Analytical Techniques, SNA, and Fuzzy Expert System for Different Industries


Klepac, Goran; Kopal, Robert; Mršić, Leo;
Early Warning System Framework Proposal Based on Structured Analytical Techniques, SNA, and Fuzzy Expert System for Different Industries // Handbook of Research on Artificial Intelligence Techniques and Algorithms (2 Volumes) / Pandian Vasant (Universiti Teknologi Petronas, Malaysia) (ur.).
USA: IGI-Global, 2015. str. 763-796


Naslov
Early Warning System Framework Proposal Based on Structured Analytical Techniques, SNA, and Fuzzy Expert System for Different Industries

Autori
Klepac, Goran ; Kopal, Robert ; Mršić, Leo ;

Vrsta, podvrsta i kategorija rada
Poglavlja u knjigama, znanstveni

Knjiga
Handbook of Research on Artificial Intelligence Techniques and Algorithms (2 Volumes)

Urednik/ci
Pandian Vasant (Universiti Teknologi Petronas, Malaysia)

Izdavač
IGI-Global

Grad
USA

Godina
2015

Raspon stranica
763-796

ISBN
0-553-57777-8

Ključne riječi
Betweenness Centrality: EWS: Early Warning Systems
(Betweenness Centrality: EWS: Early Warning Systems.)

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Informacijske i komunikacijske znanosti



POVEZANOST RADA


Ustanove
Visoko učilište Algebra, Zagreb

Profili:

Avatar Url Goran Klepac (autor)

Avatar Url Leo Mršić (autor)

Avatar Url Robert Kopal (autor)

Citiraj ovu publikaciju

Klepac, Goran; Kopal, Robert; Mršić, Leo;
Early Warning System Framework Proposal Based on Structured Analytical Techniques, SNA, and Fuzzy Expert System for Different Industries // Handbook of Research on Artificial Intelligence Techniques and Algorithms (2 Volumes) / Pandian Vasant (Universiti Teknologi Petronas, Malaysia) (ur.).
USA: IGI-Global, 2015. str. 763-796
Klepac, G., Kopal, R., Mršić, L. & (2015) Early Warning System Framework Proposal Based on Structured Analytical Techniques, SNA, and Fuzzy Expert System for Different Industries. U: Pandian Vasant (Universiti Teknologi Petronas, M. (ur.) Handbook of Research on Artificial Intelligence Techniques and Algorithms (2 Volumes). USA, IGI-Global, str. 763-796.
@inbook{inbook, editor = {Pandian Vasant (Universiti Teknologi Petronas, M.}, year = {2015}, pages = {763-796}, keywords = {Betweenness Centrality: EWS: Early Warning Systems.}, isbn = {0-553-57777-8}, title = {Early Warning System Framework Proposal Based on Structured Analytical Techniques, SNA, and Fuzzy Expert System for Different Industries}, keyword = {Betweenness Centrality: EWS: Early Warning Systems.}, publisher = {IGI-Global}, publisherplace = {USA} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Book Citation Index - Science (BKCI-S)