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Municipal Creditworhtness Modelling by Artificial Immune Systems

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F10%3A39881983" target="_blank" >RIV/00216275:25410/10:39881983 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Municipal Creditworhtness Modelling by Artificial Immune Systems

  • Original language description

    Municipal creditworthiness represents a very important measure of financial stability. Banks, supervisors, and other institutions rely upon ratings of creditworthiness to produce representations of the risk, nevertheless rating agencies never disclose evaluated parameters and their weight. This implies effort of scientific community to find accurate models for prediction of municipal creditworthiness rating. In this paper we present a classification model for municipal rating based on algorithms from the branch of artificial immune systems; Immunos-1, Immunos-2, Immunos-99, CLONALG and CLONCLAS.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA402%2F08%2F0849" target="_blank" >GA402/08/0849: Model of Sustainable Regional Development Management</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2010

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Acta Electrotechnica et Informatica

  • ISSN

    1335-8243

  • e-ISSN

  • Volume of the periodical

    10

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    SK - SLOVAKIA

  • Number of pages

    9

  • Pages from-to

  • UT code for WoS article

  • EID of the result in the Scopus database