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Data and calculation approach of the fuzzy AHP risk assessment of a large hydroelectric project.
Ribas, José Roberto; Arce, María Elena; Sohler, Flávio Augusto; Suárez-García, Andrés.
Afiliação
  • Ribas JR; University of Rio de Janeiro, Brazil.
  • Arce ME; Defense University Center at Spanish Naval Academy, Spain.
  • Sohler FA; Furnas Centrais Elétricas S.A, Brazil.
  • Suárez-García A; Defense University Center at Spanish Naval Academy, Spain.
Data Brief ; 25: 104294, 2019 Aug.
Article em En | MEDLINE | ID: mdl-31497629
This data article employs the Fuzzy Analytic Hierarchy Process (FAHP) to perform the project risk assessment in a phase of the construction of a large hydroelectric project. The list of service packs and risk events was extracted from in-depth interviews and content analysis with experts. Such qualitative data were used to identify the relevant service pack and risk event indicators for two groups - the owner's and the builder's representatives - required to specify the model. FAHP was used to calculate the relative importance of such indicators in two stages. First the relevance of the service packs was measured through paired comparisons and then weighted. Next, the relevance of the risk events associated with each service pack was assessed through the same method. A complete method of calculation for one of the respondents is presented. At the end, the average weights for the risk events of the two groups are calculated. For further information it is recommended to read the article entitled "Multi-criteria risk assessment: Case study of a large hydroelectric project" (Ribas et al., 2019).

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Qualitative_research / Risk_factors_studies Idioma: En Revista: Data Brief Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Brasil País de publicação: Holanda

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Qualitative_research / Risk_factors_studies Idioma: En Revista: Data Brief Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Brasil País de publicação: Holanda