Publicação
Using fuzzy logic to characterize uncertainty during the design and use stages of performance measurement
| Resumo: | The process of performance measurement encompasses the activities required for data collection (use stage), which was previously designed (design stage) and contribute to decision-making after data analysis (analysis stage). The lack of quality of performance measures (PMs) may influence decision-making. Since the process of performance measurement involves generally several actors, the decisionmaker may not be aware of the level of uncertainty associated with performance measures. In this paper, fuzzy sets are used to represent the uncertainty generated in performance measures during its design, use and analysis stages. The uncertainty sources are arranged on three cause–and-effect diagrams representing controllable factors that can lead to imperfect design, use and analysis, impacting on PMs uncertainty. This degree of imperfection will be labelled deficiency (at a given stage) and a methodology is presented to infer its effect on the PM uncertainty. The identification of uncertainty sources and the determination of an Uncertainty Index support actions to improve performance measures’ quality. An application example is provided to show the usefulness of the proposed methodology. |
|---|---|
| Autores principais: | Sousa, Sérgio |
| Outros Autores: | Nunes, Eusébio P.; Lopes, Isabel da Silva |
| Assunto: | Data quality Decision-making Fuzzy-sets Performance measures Uncertainty |
| Ano: | 2014 |
| País: | Portugal |
| Tipo de documento: | comunicação em conferência |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade do Minho |
| Idioma: | inglês |
| Origem: | RepositóriUM - Universidade do Minho |
| _version_ | 1866270670849048576 |
|---|---|
| author | Sousa, Sérgio |
| author2 | Nunes, Eusébio P. Lopes, Isabel da Silva |
| author2_role | author author |
| author_facet | Sousa, Sérgio Nunes, Eusébio P. Lopes, Isabel da Silva |
| author_role | author |
| contributor_name_str_mv | Universidade do Minho |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Sousa, Sérgio\"},{\"Person.name\":\"Nunes, Eusébio P.\"},{\"Person.name\":\"Lopes, Isabel da Silva\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Universidade do Minho |
| datacite.creators.creator.creatorName.fl_str_mv | Sousa, Sérgio Nunes, Eusébio P. Lopes, Isabel da Silva |
| datacite.date.Accepted.fl_str_mv | 2014-01-01T00:00:00Z |
| datacite.date.available.fl_str_mv | 2014-11-26T09:38:40Z |
| datacite.date.embargoed.fl_str_mv | 2014-11-26T09:38:40Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Data quality Decision-making Fuzzy-sets Performance measures Uncertainty |
| datacite.titles.title.fl_str_mv | Using fuzzy logic to characterize uncertainty during the design and use stages of performance measurement |
| dc.contributor.none.fl_str_mv | Universidade do Minho |
| dc.creator.none.fl_str_mv | Sousa, Sérgio Nunes, Eusébio P. Lopes, Isabel da Silva |
| dc.date.Accepted.fl_str_mv | 2014-01-01T00:00:00Z |
| dc.date.available.fl_str_mv | 2014-11-26T09:38:40Z |
| dc.date.embargoed.fl_str_mv | 2014-11-26T09:38:40Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | https://hdl.handle.net/1822/31331 |
| dc.language.none.fl_str_mv | eng |
| dc.publisher.none.fl_str_mv | International Association of Engineers (IAENG) |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | Data quality Decision-making Fuzzy-sets Performance measures Uncertainty |
| dc.title.fl_str_mv | Using fuzzy logic to characterize uncertainty during the design and use stages of performance measurement |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_5794 |
| description | The process of performance measurement encompasses the activities required for data collection (use stage), which was previously designed (design stage) and contribute to decision-making after data analysis (analysis stage). The lack of quality of performance measures (PMs) may influence decision-making. Since the process of performance measurement involves generally several actors, the decisionmaker may not be aware of the level of uncertainty associated with performance measures. In this paper, fuzzy sets are used to represent the uncertainty generated in performance measures during its design, use and analysis stages. The uncertainty sources are arranged on three cause–and-effect diagrams representing controllable factors that can lead to imperfect design, use and analysis, impacting on PMs uncertainty. This degree of imperfection will be labelled deficiency (at a given stage) and a methodology is presented to infer its effect on the PM uncertainty. The identification of uncertainty sources and the determination of an Uncertainty Index support actions to improve performance measures’ quality. An application example is provided to show the usefulness of the proposed methodology. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | conferencePaper |
| fulltext.url.fl_str_mv | https://prod-dspace.uminho.pt/bitstreams/fbd5e7e8-5ddb-422e-bf63-8242ce233373/download |
| id | rum_c8bf096bc1a3ab33f280ad466ec2fcd7 |
| identifier.url.fl_str_mv | https://hdl.handle.net/1822/31331 |
| instacron_str | repositorium |
| institution | Universidade do Minho |
| instname_str | Universidade do Minho |
| language | eng |
| network_acronym_str | rum |
| network_name_str | RepositóriUM - Universidade do Minho |
| oai_identifier_str | oai:repositorium.uminho.pt:1822/31331 |
| organization_str_mv | urn:organizationAcronym:repositorium |
| person_str_mv | Sousa, Sérgio Nunes, Eusébio P. Lopes, Isabel da Silva |
| publishDate | 2014 |
| publisher.none.fl_str_mv | International Association of Engineers (IAENG) |
| reponame_str | RepositóriUM - Universidade do Minho |
| repository_id_str | urn:repositoryAcronym:rum |
| service_str_mv | urn:repositoryAcronym:rum |
| spelling | engInternational Association of Engineers (IAENG)porThe process of performance measurement encompasses the activities required for data collection (use stage), which was previously designed (design stage) and contribute to decision-making after data analysis (analysis stage). The lack of quality of performance measures (PMs) may influence decision-making. Since the process of performance measurement involves generally several actors, the decisionmaker may not be aware of the level of uncertainty associated with performance measures. In this paper, fuzzy sets are used to represent the uncertainty generated in performance measures during its design, use and analysis stages. The uncertainty sources are arranged on three cause–and-effect diagrams representing controllable factors that can lead to imperfect design, use and analysis, impacting on PMs uncertainty. This degree of imperfection will be labelled deficiency (at a given stage) and a methodology is presented to infer its effect on the PM uncertainty. The identification of uncertainty sources and the determination of an Uncertainty Index support actions to improve performance measures’ quality. An application example is provided to show the usefulness of the proposed methodology.application/pdfporUsing fuzzy logic to characterize uncertainty during the design and use stages of performance measurementSousa, SérgioNunes, Eusébio P.Lopes, Isabel da SilvaHostingInstitutionOrganizationalUniversidade do Minhoe-mailmailto:repositorium@usdb.uminho.ptrepositorium@usdb.uminho.ptISBNIsPartOf9789881925374ISSNIsPartOf2078-09582014-11-26T09:38:40Z20142014-01-01T00:00:00ZHandlehttps://hdl.handle.net/1822/31331http://purl.org/coar/access_right/c_abf2open accessData qualityDecision-makingFuzzy-setsPerformance measuresUncertainty1095239 bytesother research producthttp://purl.org/coar/resource_type/c_5794conference paperhttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://prod-dspace.uminho.pt/bitstreams/fbd5e7e8-5ddb-422e-bf63-8242ce233373/download |
| spellingShingle | Using fuzzy logic to characterize uncertainty during the design and use stages of performance measurement Sousa, Sérgio Data quality Decision-making Fuzzy-sets Performance measures Uncertainty |
| status | SINGLETON |
| subject.fl_str_mv | Data quality Decision-making Fuzzy-sets Performance measures Uncertainty |
| title | Using fuzzy logic to characterize uncertainty during the design and use stages of performance measurement |
| title_full | Using fuzzy logic to characterize uncertainty during the design and use stages of performance measurement |
| title_fullStr | Using fuzzy logic to characterize uncertainty during the design and use stages of performance measurement |
| title_full_unstemmed | Using fuzzy logic to characterize uncertainty during the design and use stages of performance measurement |
| title_short | Using fuzzy logic to characterize uncertainty during the design and use stages of performance measurement |
| title_sort | Using fuzzy logic to characterize uncertainty during the design and use stages of performance measurement |
| topic | Data quality Decision-making Fuzzy-sets Performance measures Uncertainty |
| topic_facet | Data quality Decision-making Fuzzy-sets Performance measures Uncertainty |
| url | https://hdl.handle.net/1822/31331 |
| visible | 1 |