Sistemy i Sredstva Informatiki [Systems and Means of Informatics]
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive
Impact factor

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS



Sistemy i Sredstva Inform.:
Year:
Volume:
Issue:
Page:
Find






Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register


Sistemy i Sredstva Informatiki [Systems and Means of Informatics], 2016, Volume 26, Issue 1, Pages 182–198
DOI: https://doi.org/10.14357/08696527160112
(Mi ssi456)
 

Information system of procedural decision-making support

R. R. Rzaeva, F. B. Agayevb, A. I. Goyushova, Z. R. Jamalovc

a Institute of Control Systems of the Azerbaijan National Academy of Sciences, B. Vahabzadeh Str., Baku AZ1141, Azerbaijan Republic
b Information and International Relations Department of the Office of the Commissioner for Human Rights (Ombudsman) of the Republic of Azerbaijan, 40 Uzeyir Hajibeyov Str., Baku AZ1148, Azerbaijan Republic
c Baku State University, 23 Zakhid Khalilov Str., Baku AZ1148, Azerbaijan Republic
References:
Abstract: An approach to the formation of the system of procedural decision-making information support is suggested, which is based on the application of the fuzzy inference mechanism implemented within the neural network logical basis. Using this approach, the method allowing overcoming the semantic uncertainty in criterion concepts of a procedural law is proposed. As an example, the authors chose the Article “Violation of the author's or adjacent rights” of the Criminal Code of the Azerbaijan Republic, on the basis of which the formalism for the criterion concept “extensive damage” coupled with the applied sanction was suggested. For imposition of adequate to criterion concept sentence, the paper proposed the scale of possible sanctions obtained on the basis of the description of the correspondent legal norm in terms of fuzzy implicative rules.
Keywords: appraisal concept; legal norm; fuzzy set; multilayer neural network; fuzzy conclusion.
Received: 22.09.2015
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: R. R. Rzaev, F. B. Agayev, A. I. Goyushov, Z. R. Jamalov, “Information system of procedural decision-making support”, Sistemy i Sredstva Inform., 26:1 (2016), 182–198
Citation in format AMSBIB
\Bibitem{RzaAgaGoy16}
\by R.~R.~Rzaev, F.~B.~Agayev, A.~I.~Goyushov, Z.~R.~Jamalov
\paper Information system of procedural decision-making support
\jour Sistemy i Sredstva Inform.
\yr 2016
\vol 26
\issue 1
\pages 182--198
\mathnet{http://mi.mathnet.ru/ssi456}
\crossref{https://doi.org/10.14357/08696527160112}
\elib{https://elibrary.ru/item.asp?id=26095465}
Linking options:
  • https://www.mathnet.ru/eng/ssi456
  • https://www.mathnet.ru/eng/ssi/v26/i1/p182
  • Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Системы и средства информатики
    Statistics & downloads:
    Abstract page:228
    Full-text PDF :69
    References:64
     
      Contact us:
     Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024