Decision analysis within the small company for specialized equipment destinated for monitoring the safety mining parameters
This paper offers a review of fundamentals in decision analysis and the construction of evidence-based probabilities for use in decision-making. The term quantitative risk analysis generally connotes reliance on probability and statistics. However, select quantitative risk-based decision-making meth...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2022-01-01
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| Series: | MATEC Web of Conferences |
| Online Access: | https://www.matec-conferences.org/articles/matecconf/pdf/2022/20/matecconf_simpro2022_00081.pdf |
| _version_ | 1797951092812677120 |
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| author | Tulpan Marioara Suciu Cristina Cucăilă Marius Cucăilă Simona Saracuț Mircea |
| author_facet | Tulpan Marioara Suciu Cristina Cucăilă Marius Cucăilă Simona Saracuț Mircea |
| author_sort | Tulpan Marioara |
| collection | DOAJ |
| description | This paper offers a review of fundamentals in decision analysis and the construction of evidence-based probabilities for use in decision-making. The term quantitative risk analysis generally connotes reliance on probability and statistics. However, select quantitative risk-based decision-making methodologies, such as game theory, do not require knowledge of probabilities. Maximizing the minimum (maximin) gain, minimizing the maximum (minimax) loss, or maximizing the maximum (maximax) gain are but a few examples of decision-making criteria for handling risk and uncertainty without adhering to probabilities. Quantitative risk assessment builds on the existence of probabilities that describe the likelihood of outcomes, such as consequences. In general, probabilities are derived on the basis of historical records, statistical analysis, and/or systemic observations and experimentation. We commonly refer to probabilities that are derived from this process as "objective probabilities". Often, however, situations arise where the database is so sparse and experimentation is so impractical that "objective probabilities" must be supplemented with "subjective probabilities" or probabilities that are based on expert evidence, often referred to as "expert judgment". This paper focus on generating probabilities on the basis of expert evidence, using by the decision rules under uncertainty. |
| first_indexed | 2024-04-10T22:25:15Z |
| format | Article |
| id | doaj.art-7e6a1647751e4eb897dcc52263d7a1f1 |
| institution | Directory Open Access Journal |
| issn | 2261-236X |
| language | English |
| last_indexed | 2024-04-10T22:25:15Z |
| publishDate | 2022-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | MATEC Web of Conferences |
| spelling | doaj.art-7e6a1647751e4eb897dcc52263d7a1f12023-01-17T09:15:40ZengEDP SciencesMATEC Web of Conferences2261-236X2022-01-013730008110.1051/matecconf/202237300081matecconf_simpro2022_00081Decision analysis within the small company for specialized equipment destinated for monitoring the safety mining parametersTulpan Marioara0Suciu Cristina1Cucăilă Marius2Cucăilă Simona3Saracuț Mircea4Doctoral School - University of PetrosaniDoctoral School - University of PetrosaniUniversity of PetrosaniUniversity of PetrosaniDoctoral School - University of PetrosaniThis paper offers a review of fundamentals in decision analysis and the construction of evidence-based probabilities for use in decision-making. The term quantitative risk analysis generally connotes reliance on probability and statistics. However, select quantitative risk-based decision-making methodologies, such as game theory, do not require knowledge of probabilities. Maximizing the minimum (maximin) gain, minimizing the maximum (minimax) loss, or maximizing the maximum (maximax) gain are but a few examples of decision-making criteria for handling risk and uncertainty without adhering to probabilities. Quantitative risk assessment builds on the existence of probabilities that describe the likelihood of outcomes, such as consequences. In general, probabilities are derived on the basis of historical records, statistical analysis, and/or systemic observations and experimentation. We commonly refer to probabilities that are derived from this process as "objective probabilities". Often, however, situations arise where the database is so sparse and experimentation is so impractical that "objective probabilities" must be supplemented with "subjective probabilities" or probabilities that are based on expert evidence, often referred to as "expert judgment". This paper focus on generating probabilities on the basis of expert evidence, using by the decision rules under uncertainty.https://www.matec-conferences.org/articles/matecconf/pdf/2022/20/matecconf_simpro2022_00081.pdf |
| spellingShingle | Tulpan Marioara Suciu Cristina Cucăilă Marius Cucăilă Simona Saracuț Mircea Decision analysis within the small company for specialized equipment destinated for monitoring the safety mining parameters MATEC Web of Conferences |
| title | Decision analysis within the small company for specialized equipment destinated for monitoring the safety mining parameters |
| title_full | Decision analysis within the small company for specialized equipment destinated for monitoring the safety mining parameters |
| title_fullStr | Decision analysis within the small company for specialized equipment destinated for monitoring the safety mining parameters |
| title_full_unstemmed | Decision analysis within the small company for specialized equipment destinated for monitoring the safety mining parameters |
| title_short | Decision analysis within the small company for specialized equipment destinated for monitoring the safety mining parameters |
| title_sort | decision analysis within the small company for specialized equipment destinated for monitoring the safety mining parameters |
| url | https://www.matec-conferences.org/articles/matecconf/pdf/2022/20/matecconf_simpro2022_00081.pdf |
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