https://oldena.lpnu.ua/handle/ntb/52519| Title: | A New Approach for Forming a Probabilistic Risk Assessment Model of Innovative Project Implementation Under Risk |
| Authors: | Rekik, Ali Masmoudi, Nissen |
| Affiliation: | Higher Institute of Computer Sciences |
| Bibliographic description (Ukraine): | 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). |
| Bibliographic description (International): | 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). |
| Is part of: | Data stream mining and processing : proceedings of the IEEE second international conference, 2018 |
| Conference/Event: | IEEE second international conference "Data stream mining and processing" |
| Issue Date: | 28-Feb-2018 |
| Publisher: | Lviv Politechnic Publishing House |
| Place of the edition/event: | Львів |
| Temporal Coverage: | 21-25 August 2018, Lviv |
| Keywords: | Innovative project selection fuzzy logic Risk Uncertainty |
| Number of pages: | 4 |
| Page range: | 342-345 |
| Start page: | 342 |
| End page: | 345 |
| 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. |
| URI: | https://ena.lpnu.ua/handle/ntb/52519 |
| ISBN: | © Національний університет „Львівська політехніка“, 2018 © Національний університет „Львівська політехніка“, 2018 |
| Copyright owner: | © Національний університет “Львівська політехніка”, 2018 |
| References (Ukraine): | [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. [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. [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. [4] G. P. Pisano, “Creating an R&D Strategy”, Harvard Business School Working Paper, no. 12-095, April 24, 2012. [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. [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. [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. [8] R. Ali, "Coordination mechanisms in complex hierarchical systems", International Journal of Information and Decision Sciences., vol. 9, no. 3, pp. 297– 313, 2017. [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. |
| References (International): | [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. [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. [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. [4] G. P. Pisano, "Creating an R&D Strategy", Harvard Business School Working Paper, no. 12-095, April 24, 2012. [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. [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. [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. [8] R. Ali, "Coordination mechanisms in complex hierarchical systems", International Journal of Information and Decision Sciences., vol. 9, no. 3, pp. 297– 313, 2017. [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. |
| Content type: | Conference Abstract |
| Appears in Collections: | Data stream mining and processing : proceedings of the IEEE second international conference |
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2018_Rekik_A-A_New_Approach_for_Forming_342-345.pdf | 308.93 kB | Adobe PDF | View/Open | |
| 2018_Rekik_A-A_New_Approach_for_Forming_342-345__COVER.png | 1.16 MB | image/png | View/Open |
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