Criticality assessment risk; contribution of fuzzy logic
In order to determine the criticality of a risk, an assessment of the probability of occurrence (notion of frequency) and of the impact (notion of severity) are to be estimated. The criticality is the product of the probability of its occurrence and the impact that the risk has on the project, hence...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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University of Belgrade
2018-01-01
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| Series: | Yugoslav Journal of Operations Research |
| Subjects: | |
| Online Access: | http://www.doiserbia.nb.rs/img/doi/0354-0243/2018/0354-02431700005M.pdf |
| _version_ | 1818617934189166592 |
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| author | Masmoudi S. Dhiaf M.M. |
| author_facet | Masmoudi S. Dhiaf M.M. |
| author_sort | Masmoudi S. |
| collection | DOAJ |
| description | In order to determine the criticality of a risk, an assessment of the probability of occurrence (notion of frequency) and of the impact (notion of severity) are to be estimated. The criticality is the product of the probability of its occurrence and the impact that the risk has on the project, hence on the whole company. So, the practice of matrix or the criticality grid considering these two dimensions is necessary. However, the criticality grid involves the insufficiencies inherent to the subjective behavior of expert judgments and to the imprecise information engaged in the assessment of the risk. Taking into account the problems of the imperfection implied in the Conventional Criticality Matrix (CCM), the objective of this work is to develop a Fuzzy Criticality Matrix (FCM) to overcome these difficulties. The proposed model aims at improving the system of fuzzy inference. The proposed approach is applied to a test system which is the company SAROST S.A. |
| first_indexed | 2024-12-16T17:13:35Z |
| format | Article |
| id | doaj.art-b174b5a0ce5f4552889091d2745ffa10 |
| institution | Directory Open Access Journal |
| issn | 0354-0243 1820-743X |
| language | English |
| last_indexed | 2024-12-16T17:13:35Z |
| publishDate | 2018-01-01 |
| publisher | University of Belgrade |
| record_format | Article |
| series | Yugoslav Journal of Operations Research |
| spelling | doaj.art-b174b5a0ce5f4552889091d2745ffa102022-12-21T22:23:21ZengUniversity of BelgradeYugoslav Journal of Operations Research0354-02431820-743X2018-01-012819310510.2298/YJOR161113005M0354-02431700005MCriticality assessment risk; contribution of fuzzy logicMasmoudi S.0Dhiaf M.M.1University of Sfax, Faculty of Economics and Management Sciences, Sfax, TunisiaEmirates College of Technology, Abu Dhabi, UAEIn order to determine the criticality of a risk, an assessment of the probability of occurrence (notion of frequency) and of the impact (notion of severity) are to be estimated. The criticality is the product of the probability of its occurrence and the impact that the risk has on the project, hence on the whole company. So, the practice of matrix or the criticality grid considering these two dimensions is necessary. However, the criticality grid involves the insufficiencies inherent to the subjective behavior of expert judgments and to the imprecise information engaged in the assessment of the risk. Taking into account the problems of the imperfection implied in the Conventional Criticality Matrix (CCM), the objective of this work is to develop a Fuzzy Criticality Matrix (FCM) to overcome these difficulties. The proposed model aims at improving the system of fuzzy inference. The proposed approach is applied to a test system which is the company SAROST S.A.http://www.doiserbia.nb.rs/img/doi/0354-0243/2018/0354-02431700005M.pdfcriticalityfuzzy inference system(conventional/fuzzy) criticality matrix (CCM) / (FCM) |
| spellingShingle | Masmoudi S. Dhiaf M.M. Criticality assessment risk; contribution of fuzzy logic Yugoslav Journal of Operations Research criticality fuzzy inference system (conventional/fuzzy) criticality matrix (CCM) / (FCM) |
| title | Criticality assessment risk; contribution of fuzzy logic |
| title_full | Criticality assessment risk; contribution of fuzzy logic |
| title_fullStr | Criticality assessment risk; contribution of fuzzy logic |
| title_full_unstemmed | Criticality assessment risk; contribution of fuzzy logic |
| title_short | Criticality assessment risk; contribution of fuzzy logic |
| title_sort | criticality assessment risk contribution of fuzzy logic |
| topic | criticality fuzzy inference system (conventional/fuzzy) criticality matrix (CCM) / (FCM) |
| url | http://www.doiserbia.nb.rs/img/doi/0354-0243/2018/0354-02431700005M.pdf |
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