| DC Field | Value | Language |
|---|
| dc.contributor.author | Rekik, Ali | |
| dc.contributor.author | Masmoudi, Nissen | |
| dc.coverage.temporal | 21-25 August 2018, Lviv | |
| dc.date.accessioned | 2020-06-19T12:05:38Z | - |
| dc.date.available | 2020-06-19T12:05:38Z | - |
| dc.date.created | 2018-02-28 | |
| dc.date.issued | 2018-02-28 | |
| dc.identifier.citation | Rekik A. A New Approach for Forming a Probabilistic Risk Assessment Model of Innovative Project Implementation Under Risk / Ali Rekik, Nissen Masmoudi // Data stream mining and processing : proceedings of the IEEE second international conference, 21-25 August 2018, Lviv. — Львів : Lviv Politechnic Publishing House, 2018. — P. 342–345. — (Hybrid Systems of Computational Intelligence). | |
| dc.identifier.isbn | © Національний університет „Львівська політехніка“, 2018 | |
| dc.identifier.isbn | © Національний університет „Львівська політехніка“, 2018 | |
| dc.identifier.uri | https://ena.lpnu.ua/handle/ntb/52519 | - |
| dc.description.abstract | In this paper we propose a new approach for
constructing a probabilistic risk assessment model of
innovative project. The method is based on the task of
comparison and ranking of fuzzy numbers that has an
important role in more applications related to the decision
analysis. In the literature there are many approaches to
compare fuzzy numbers. The majority of these approaches are
based on the quantitative measurements. For that, we propose
a new method to calculate the risk level that we can accord to
equality X <Y when X and Y are two generalized fuzzy numbers. | |
| dc.format.extent | 342-345 | |
| dc.language.iso | en | |
| dc.publisher | Lviv Politechnic Publishing House | |
| dc.relation.ispartof | Data stream mining and processing : proceedings of the IEEE second international conference, 2018 | |
| dc.subject | Innovative project selection | |
| dc.subject | fuzzy logic | |
| dc.subject | Risk | |
| dc.subject | Uncertainty | |
| dc.title | A New Approach for Forming a Probabilistic Risk Assessment Model of Innovative Project Implementation Under Risk | |
| dc.type | Conference Abstract | |
| dc.rights.holder | © Національний університет “Львівська політехніка”, 2018 | |
| dc.contributor.affiliation | Higher Institute of Computer Sciences | |
| dc.format.pages | 4 | |
| dc.identifier.citationen | Rekik A. A New Approach for Forming a Probabilistic Risk Assessment Model of Innovative Project Implementation Under Risk / Ali Rekik, Nissen Masmoudi // Data stream mining and processing : proceedings of the IEEE second international conference, 21-25 August 2018, Lviv. — Lviv Politechnic Publishing House, 2018. — P. 342–345. — (Hybrid Systems of Computational Intelligence). | |
| dc.relation.references | [1] B. A. Perera, R. Rameezdeen, N. Chileshe, and M. R. Hosseini, “Enhancing the effectiveness of risk management practices in Sri Lankan road construction projects: A Delphi approach”, International Journal of Construction Management, vol. 14, no.1, pp. 1–19, 2014. | |
| dc.relation.references | [2] C. Stummer, E. Kiesling, and W. J. Gutjahr, “A multicriteria decision support system for competence-driven project portfolio selection”, International Journal of Information Technology & Decision Making, vol.8, pp. 379–401, 2009. | |
| dc.relation.references | [3] J. Teller, “Portfolio risk management and its contribution to project portfolio success: An investigation of organization, process, and culture”, Project Management Journal, vol. 44, No.2, pp. 36–51, 2013. | |
| dc.relation.references | [4] G. P. Pisano, “Creating an R&D Strategy”, Harvard Business School Working Paper, no. 12-095, April 24, 2012. | |
| dc.relation.references | [5] R. Ali, G. Mounir, V.E. Balas, and M. Nissen, "Fuzzy Evaluation Method for Project Profitability", Advances in Intelligent Systems and Computing. Springer International Publishing, pp. 17-27, 2017. | |
| dc.relation.references | [6] G. Mounir, R. Ali, T. Moncef, "Coordinated Resource Management Models in Hierarchical Systems", International Journal of Advanced Computer Science and Applications, Vol. 4, No. 2, pp. 105-109, 2013. | |
| dc.relation.references | [7] Q. Tian, J. Ma, and O. Liu, “A hybrid knowledge and model system for R&D project selection”, Expert Systems with Applications, vol 23, pp. 265–271, 2002. | |
| dc.relation.references | [8] R. Ali, "Coordination mechanisms in complex hierarchical systems", International Journal of Information and Decision Sciences., vol. 9, no. 3, pp. 297– 313, 2017. | |
| dc.relation.references | [9] W. G. Zhang, Y. J. Liu, and W. J. Xu, “A new fuzzy programming approach for multi-period portfolio optimization with return demand and risk control” , Fuzzy Sets and Systems, vol. 246, pp. 107–126, 2014. | |
| dc.relation.referencesen | [1] B. A. Perera, R. Rameezdeen, N. Chileshe, and M. R. Hosseini, "Enhancing the effectiveness of risk management practices in Sri Lankan road construction projects: A Delphi approach", International Journal of Construction Management, vol. 14, no.1, pp. 1–19, 2014. | |
| dc.relation.referencesen | [2] C. Stummer, E. Kiesling, and W. J. Gutjahr, "A multicriteria decision support system for competence-driven project portfolio selection", International Journal of Information Technology & Decision Making, vol.8, pp. 379–401, 2009. | |
| dc.relation.referencesen | [3] J. Teller, "Portfolio risk management and its contribution to project portfolio success: An investigation of organization, process, and culture", Project Management Journal, vol. 44, No.2, pp. 36–51, 2013. | |
| dc.relation.referencesen | [4] G. P. Pisano, "Creating an R&D Strategy", Harvard Business School Working Paper, no. 12-095, April 24, 2012. | |
| dc.relation.referencesen | [5] R. Ali, G. Mounir, V.E. Balas, and M. Nissen, "Fuzzy Evaluation Method for Project Profitability", Advances in Intelligent Systems and Computing. Springer International Publishing, pp. 17-27, 2017. | |
| dc.relation.referencesen | [6] G. Mounir, R. Ali, T. Moncef, "Coordinated Resource Management Models in Hierarchical Systems", International Journal of Advanced Computer Science and Applications, Vol. 4, No. 2, pp. 105-109, 2013. | |
| dc.relation.referencesen | [7] Q. Tian, J. Ma, and O. Liu, "A hybrid knowledge and model system for R&D project selection", Expert Systems with Applications, vol 23, pp. 265–271, 2002. | |
| dc.relation.referencesen | [8] R. Ali, "Coordination mechanisms in complex hierarchical systems", International Journal of Information and Decision Sciences., vol. 9, no. 3, pp. 297– 313, 2017. | |
| dc.relation.referencesen | [9] W. G. Zhang, Y. J. Liu, and W. J. Xu, "A new fuzzy programming approach for multi-period portfolio optimization with return demand and risk control" , Fuzzy Sets and Systems, vol. 246, pp. 107–126, 2014. | |
| dc.citation.conference | IEEE second international conference "Data stream mining and processing" | |
| dc.citation.spage | 342 | |
| dc.citation.epage | 345 | |
| dc.coverage.placename | Львів | |
| Appears in Collections: | Data stream mining and processing : proceedings of the IEEE second international conference
|
