Articles producció científica> Gestió d'Empreses

The OWA distance operator and its application in business failure

  • Identification data

    Identifier: PC:2582
    Authors:
    Scherger, ValeriaTerceño, AntonioVigier, Hernán
    Abstract:
    Filiació URV: SIMemòria
  • Others:

    Author, as appears in the article.: Scherger, Valeria; Terceño, Antonio; Vigier, Hernán
    Department: Gestió d'Empreses
    URV's Author/s: Terceño Gómez, A. Scherger, V. Vigier, H.
    Keywords: Operadors OWA Conjunts borrosos Fuzzy relations Business failure Distance measures Operadores OWA Conjuntos borrosos
    Abstract: Purpose: The purpose of this paper is to develop a goodness index based on Hamming distance and ordered weighted averaging distance (OWAD), which is useful to make decisions. These alternative measures enrich the results of diagnostic fuzzy models and facilitate the experts’ task in decision-making. An application to a set of firms to verify the results is also presented. Design/methodology/approach: The paper follows the basis of OWA operators to design a methodology to reduce the map of causes of business failure into monitoring key areas. Findings: The present paper introduces two alternative measures to test the proposal of grouping. In the empirical application, the superiority of the minimum T-norm over other decision rules is verified. The ordered weighted averaging distance (OWAD) goodness index predicts a better adjustment over the index built using OWA and Hamming distance measures. Practical implications: A useful mechanism to reduce the map of causes or diseases detected in key areas is added through this analysis. At the same time, these key areas can be disaggregated once some alert indicator is identified; this allows knowing the causes that require special attention. This application of OWA can encourage the development of suitable computer systems for monitoring the firm’s problems, alerting regarding failures and easing decision-making. Originality/value: A comparison of grouping causes into key areas through a goodness index based on Hamming distance and OWAD is proposed. These contributions enrich the Vigier and Terceño (2008) model and could be applied to any model of fuzzy diagnosis to test the results.
    Research group: Mercats i Anàlisi Financera (MAF)
    Thematic Areas: Economics and business Economía y empresa
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    ISSN: 0368-492X
    Author identifier: 0000-0001-5348-8837; N/A; N/A
    Record's date: 2017-02-23
    Last page: 130
    Journal volume: 46
    Papper version: info:eu-repo/semantics/acceptedVersion
    Link to the original source: http://www.emeraldinsight.com/doi/full/10.1108/K-05-2016-0107
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Article's DOI: 10.1108/K-05-2016-0107
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2017
    First page: 114
    Publication Type: Article
  • Keywords:

    Operadors OWA
    Conjunts borrosos
    Fuzzy relations
    Business failure
    Distance measures
    Operadores OWA
    Conjuntos borrosos
    Economics and business
    Economía y empresa
    0368-492X
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