1
Computer Technologies Engineering, Al-Turath University College, Baghdad, Iraq
(mustafanazar1990@gmail.com)
2
Department of Medical Devices Engineering Technologies, National University of Science and Technology, Dhi Qar, Nasiriyah, Iraq
(mohammed.alkhafaji@nust.edu.iq)
3
Medical instruments engineering techniques, Al-farahidi University, Baghdad, Iraq
(Ahmed Hussian@uoalfarahidi.edu.iq)
4
Technical Computer Engineering Department, Al-Kunooze University College, Basrah, Iraq
(Hussein.Alaa@kunoozu.edu.Iq)
5
Information and Communication Technology Research Group, Scientific Research Center, Al-Ayen University, Thi-Qar, Iraq
(naseerali@alayen.edu.iq)
6
Department of Applied Data Science, Noroff University College, Kristiansand, Norway
(sahar.yassine@noroff.no)
7
Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai 602105, India
(sahar.yassine@noroff.no; v.rajinikanth@ieee.org)
Abstract :
Risk Management is an important task that helps to monitor the business application to eliminate the political, financial, cultural, and social consequences. The organization's risk decision is affected by several characteristics, such as lack of accountability and risk decision-making. The difficulties are resolved by applying the Machine-Learning related Business Decision Making Approach (ML-BDMA). The created framework helps to reduce the difficulties in decision-making while managing the organization's risk. The Business Decision Making process works along with the Optimistic Predictive Techniques (OPT) that are used to identify the risk which leads to attaining the business objective. This process categorizes the risk according to the qualitative characteristics of business data. The system's effectiveness was evaluated using the experimental result in which the system ensures a 98.93% performance rate, 92.25% reliability rate, 93.47% authenticity rate, 91.11% risk management rate, and 97.77% development rate while making a business decision.
Keywords :
Risk management; Business Decision Making (BDM); Optimistic Predictive Technique (OPT); reliability rate and development rate.
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| Style | # |
|---|---|
| MLA | Mustafa Nazar Dawood, Mohammed Ayad Alkhafaji, Ahmed Hussian, Hussein Alaa Diame, Naseer Ali Hussien, Sahar Yassine, Venkatesan Rajinikanth. "Developing a Risk Management System with an Optimistic Predictive Approach and Business Decision-Making." Journal of Intelligent Systems and Internet of Things, Vol. 9, No. 2, 2023 ,PP. 51-64 (Doi : https://doi.org/10.54216/JISIoT.090204) |
| APA | Mustafa Nazar Dawood, Mohammed Ayad Alkhafaji, Ahmed Hussian, Hussein Alaa Diame, Naseer Ali Hussien, Sahar Yassine, Venkatesan Rajinikanth. (2023). Developing a Risk Management System with an Optimistic Predictive Approach and Business Decision-Making. Journal of Journal of Intelligent Systems and Internet of Things, 9 ( 2 ), 51-64 (Doi : https://doi.org/10.54216/JISIoT.090204) |
| Chicago | Mustafa Nazar Dawood, Mohammed Ayad Alkhafaji, Ahmed Hussian, Hussein Alaa Diame, Naseer Ali Hussien, Sahar Yassine, Venkatesan Rajinikanth. "Developing a Risk Management System with an Optimistic Predictive Approach and Business Decision-Making." Journal of Journal of Intelligent Systems and Internet of Things, 9 no. 2 (2023): 51-64 (Doi : https://doi.org/10.54216/JISIoT.090204) |
| Harvard | Mustafa Nazar Dawood, Mohammed Ayad Alkhafaji, Ahmed Hussian, Hussein Alaa Diame, Naseer Ali Hussien, Sahar Yassine, Venkatesan Rajinikanth. (2023). Developing a Risk Management System with an Optimistic Predictive Approach and Business Decision-Making. Journal of Journal of Intelligent Systems and Internet of Things, 9 ( 2 ), 51-64 (Doi : https://doi.org/10.54216/JISIoT.090204) |
| Vancouver | Mustafa Nazar Dawood, Mohammed Ayad Alkhafaji, Ahmed Hussian, Hussein Alaa Diame, Naseer Ali Hussien, Sahar Yassine, Venkatesan Rajinikanth. Developing a Risk Management System with an Optimistic Predictive Approach and Business Decision-Making. Journal of Journal of Intelligent Systems and Internet of Things, (2023); 9 ( 2 ): 51-64 (Doi : https://doi.org/10.54216/JISIoT.090204) |
| IEEE | Mustafa Nazar Dawood, Mohammed Ayad Alkhafaji, Ahmed Hussian, Hussein Alaa Diame, Naseer Ali Hussien, Sahar Yassine, Venkatesan Rajinikanth, Developing a Risk Management System with an Optimistic Predictive Approach and Business Decision-Making, Journal of Journal of Intelligent Systems and Internet of Things, Vol. 9 , No. 2 , (2023) : 51-64 (Doi : https://doi.org/10.54216/JISIoT.090204) |