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

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