Decision Support Method in the Assessment of Nuclear Knowledge Management using Fuzzy Logic
The knowledge of workers constitute as valuable resources, as they enable organizations to perform their functions successfully. However, there are conditions that favor the loss of this knowledge in organizations, as for example, the natural aging of workers and consequently the retirement and sta...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Brazilian Radiation Protection Society (Sociedade Brasileira de Proteção Radiológica, SBPR)
2022-10-01
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| Series: | Brazilian Journal of Radiation Sciences |
| Subjects: | |
| Online Access: | https://bjrs.org.br/revista/index.php/REVISTA/article/view/1785 |
| _version_ | 1797991731995607040 |
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| author | Claudio Henrique dos Santos Grecco Jaqueline Tavares Viana de Souza Paulo Victor Rodrigues Carvalho Carlos Alberto Nunes Cosenza |
| author_facet | Claudio Henrique dos Santos Grecco Jaqueline Tavares Viana de Souza Paulo Victor Rodrigues Carvalho Carlos Alberto Nunes Cosenza |
| author_sort | Claudio Henrique dos Santos Grecco |
| collection | DOAJ |
| description |
The knowledge of workers constitute as valuable resources, as they enable organizations to perform their functions successfully. However, there are conditions that favor the loss of this knowledge in organizations, as for example, the natural aging of workers and consequently the retirement and staff turnover. Then, it becomes important for organization to seek the preservation these knowledge. For a successful implementation of Knowledge Management (KM), it is important to identify the barriers or critical factors that affect the success of the KM process.
From the perspective of the nuclear organizations, no systematic framework exists on characterizing a set of critical success factors (CSFs) for implementing KM. Furthermore, the CSFs assessment deals with uncertainty and imprecision of human judgments. In this context, this paper presents a decision support method using CSFs and logic fuzzy to assess the KM in nuclear organizations. Fuzzy theory is essentially used in mapping quantitative models for decision support and representation methods in imprecise and uncertain environments. The decision support method was applied at the Laboratory of Human-Systems Interfaces of the Nuclear Engineering Institute. The results showed that the method is a good assessment tool for the elaboration of nuclear knowledge management strategies.
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| first_indexed | 2024-04-11T08:55:56Z |
| format | Article |
| id | doaj.art-1cb46c66a459445dbe32256b7807ee53 |
| institution | Directory Open Access Journal |
| issn | 2319-0612 |
| language | English |
| last_indexed | 2024-04-11T08:55:56Z |
| publishDate | 2022-10-01 |
| publisher | Brazilian Radiation Protection Society (Sociedade Brasileira de Proteção Radiológica, SBPR) |
| record_format | Article |
| series | Brazilian Journal of Radiation Sciences |
| spelling | doaj.art-1cb46c66a459445dbe32256b7807ee532022-12-22T04:33:17ZengBrazilian Radiation Protection Society (Sociedade Brasileira de Proteção Radiológica, SBPR)Brazilian Journal of Radiation Sciences2319-06122022-10-01103A10.15392/2319-0612.2022.1785Decision Support Method in the Assessment of Nuclear Knowledge Management using Fuzzy LogicClaudio Henrique dos Santos Grecco0Jaqueline Tavares Viana de Souza1Paulo Victor Rodrigues Carvalho2Carlos Alberto Nunes Cosenza3Instituto de Engenharia Nuclear - Comissão Nacional de Energia NuclearUniversidade Federal do RJ - UFRJ/COPPEInstituto de Engenharia Nuclear (IEN/CNEN)Universidade Federal do RJ - UFRJ/COPPE The knowledge of workers constitute as valuable resources, as they enable organizations to perform their functions successfully. However, there are conditions that favor the loss of this knowledge in organizations, as for example, the natural aging of workers and consequently the retirement and staff turnover. Then, it becomes important for organization to seek the preservation these knowledge. For a successful implementation of Knowledge Management (KM), it is important to identify the barriers or critical factors that affect the success of the KM process. From the perspective of the nuclear organizations, no systematic framework exists on characterizing a set of critical success factors (CSFs) for implementing KM. Furthermore, the CSFs assessment deals with uncertainty and imprecision of human judgments. In this context, this paper presents a decision support method using CSFs and logic fuzzy to assess the KM in nuclear organizations. Fuzzy theory is essentially used in mapping quantitative models for decision support and representation methods in imprecise and uncertain environments. The decision support method was applied at the Laboratory of Human-Systems Interfaces of the Nuclear Engineering Institute. The results showed that the method is a good assessment tool for the elaboration of nuclear knowledge management strategies. https://bjrs.org.br/revista/index.php/REVISTA/article/view/1785knowledge managementdecision support methodfuzzy logic |
| spellingShingle | Claudio Henrique dos Santos Grecco Jaqueline Tavares Viana de Souza Paulo Victor Rodrigues Carvalho Carlos Alberto Nunes Cosenza Decision Support Method in the Assessment of Nuclear Knowledge Management using Fuzzy Logic Brazilian Journal of Radiation Sciences knowledge management decision support method fuzzy logic |
| title | Decision Support Method in the Assessment of Nuclear Knowledge Management using Fuzzy Logic |
| title_full | Decision Support Method in the Assessment of Nuclear Knowledge Management using Fuzzy Logic |
| title_fullStr | Decision Support Method in the Assessment of Nuclear Knowledge Management using Fuzzy Logic |
| title_full_unstemmed | Decision Support Method in the Assessment of Nuclear Knowledge Management using Fuzzy Logic |
| title_short | Decision Support Method in the Assessment of Nuclear Knowledge Management using Fuzzy Logic |
| title_sort | decision support method in the assessment of nuclear knowledge management using fuzzy logic |
| topic | knowledge management decision support method fuzzy logic |
| url | https://bjrs.org.br/revista/index.php/REVISTA/article/view/1785 |
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