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Municipal Creditworthiness Modelling by Clustering Methods

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F07%3A00005300" target="_blank" >RIV/00216275:25410/07:00005300 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Municipal Creditworthiness Modelling by Clustering Methods

  • Original language description

    The paper presents the design of municipal creditworthiness parameters. Municipal creditworthi-ness modelling is realized by means of unsupervised methods, namely neural networks, cluster and fuzzy cluster analysis methods. Analysis of the gained resultsis based on clustering quality evaluation and further, on the comparison to results gained by the designed hierarchical structure of fuzzy inference system. Suitable interpretation of the created clusters is achieved this way.

  • Czech name

    Modelování bonity obcí metodami učení bez učitele

  • Czech description

    V článku jsou navrženy parametry bonity obcí. Modelování je realizováno metodami učení bez učitele, konkrétně neuronovými sítěmi, metodami shlukové a fuzzy shlukové analýzy. Analýza výsledků je založena hodnocení kvality shlukování a dále na porovnání svýsledky navržené hierarchické struktury fuzzy inferenčních systémů. Tím je dosaženo vhodné ekonomické interpretace výsledků.

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/SP%2F4I2%2F60%2F07" target="_blank" >SP/4I2/60/07: Indicators for assessment and simulation of interactions among environment, economics and social connections</a><br>

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2007

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    10th International Conference on Engineering Applications of Neural Network, ICANN07

  • ISBN

    978-960-287-093-8

  • ISSN

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    168-177

  • Publisher name

    Publishing Centre Alexander T.E.I. of Thessaloniki

  • Place of publication

    Thessaloniki

  • Event location

    Thessaloniki, Greece

  • Event date

    Aug 31, 2007

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article