Theoretical and experimental research on the use of expert systems (ES) in assessing risks of failure in metallurgical companies

The systems’ engineering has reached an explosive development of intelligent systems technology which solves complex problems based on human expertise accumulated in the past and following the processes of learning and reasoning very similar to those of the biological brain. In this article, the con...

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Main Authors: E. Iancu, I. Cibotariu
Format: Article
Language:English
Published: Croatian Metallurgical Society 2013-04-01
Series:Metalurgija
Subjects:
Online Access:http://hrcak.srce.hr/file/136502
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spelling doaj-d3380768c41b4add984ca0f3eb0173612020-11-24T21:13:51ZengCroatian Metallurgical SocietyMetalurgija0543-58461334-25762013-04-01522279281Theoretical and experimental research on the use of expert systems (ES) in assessing risks of failure in metallurgical companies E. IancuI. CibotariuThe systems’ engineering has reached an explosive development of intelligent systems technology which solves complex problems based on human expertise accumulated in the past and following the processes of learning and reasoning very similar to those of the biological brain. In this article, the concept of the proposed expert system is the result of interdisciplinary researches (computer science, management, accounting and business administration, etc.), which are designed to provide a tool for top management work force of a listed metallurgical company. The inference machine will provide in the end score functions for Altman, Conan Holder model and rating which eventually can be combined into a single model that will forecast the company’s evolution in coming years.http://hrcak.srce.hr/file/136502metallurgical companyrisk assessmentexpert systemeconomic analysisAltman modelConan-Holder model
collection DOAJ
language English
format Article
sources DOAJ
author E. Iancu
I. Cibotariu
spellingShingle E. Iancu
I. Cibotariu
Theoretical and experimental research on the use of expert systems (ES) in assessing risks of failure in metallurgical companies
Metalurgija
metallurgical company
risk assessment
expert system
economic analysis
Altman model
Conan-Holder model
author_facet E. Iancu
I. Cibotariu
author_sort E. Iancu
title Theoretical and experimental research on the use of expert systems (ES) in assessing risks of failure in metallurgical companies
title_short Theoretical and experimental research on the use of expert systems (ES) in assessing risks of failure in metallurgical companies
title_full Theoretical and experimental research on the use of expert systems (ES) in assessing risks of failure in metallurgical companies
title_fullStr Theoretical and experimental research on the use of expert systems (ES) in assessing risks of failure in metallurgical companies
title_full_unstemmed Theoretical and experimental research on the use of expert systems (ES) in assessing risks of failure in metallurgical companies
title_sort theoretical and experimental research on the use of expert systems (es) in assessing risks of failure in metallurgical companies
publisher Croatian Metallurgical Society
series Metalurgija
issn 0543-5846
1334-2576
publishDate 2013-04-01
description The systems’ engineering has reached an explosive development of intelligent systems technology which solves complex problems based on human expertise accumulated in the past and following the processes of learning and reasoning very similar to those of the biological brain. In this article, the concept of the proposed expert system is the result of interdisciplinary researches (computer science, management, accounting and business administration, etc.), which are designed to provide a tool for top management work force of a listed metallurgical company. The inference machine will provide in the end score functions for Altman, Conan Holder model and rating which eventually can be combined into a single model that will forecast the company’s evolution in coming years.
topic metallurgical company
risk assessment
expert system
economic analysis
Altman model
Conan-Holder model
url http://hrcak.srce.hr/file/136502
work_keys_str_mv AT eiancu theoreticalandexperimentalresearchontheuseofexpertsystemsesinassessingrisksoffailureinmetallurgicalcompanies
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