The Experts below are selected from a list of 216 Experts worldwide ranked by ideXlab platform
Saeed Shahmiri - One of the best experts on this subject based on the ideXlab platform.
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An Emotional Learning based Fuzzy Inference System (ELFIS) for improvement of the completion time of projects estimation
2009 International Conference on Computers & Industrial Engineering, 2009Co-Authors: Seyed Hossein Iranmanesh, Gholam Hossein Mirseraji, Saeed ShahmiriAbstract:This study tries to examine the impacts of emotional learning based fuzzy inference system (ELFIS) on completion time of projects. For the project management team, on time delivery within budget is a fundamental and important factor that highlights the importance of estimating the completion time of a project during its execution. This study implies four soft computing methods which are artificial neural network (ANN), adaptive neuro-fuzzy inference system (ANFIS), ELFIS and conventional regression to forecast the completion time of projects. Periodical time series for this study are generated by a progress generator program with typical resource constrained project scheduling (RCPS) problem projects library. Core variables in proposed model consist of known parameters in earned value management system which is SPI (Schedule Performance Index), CPI (cost Performance Index) and AD (actual duration). Using ELFIS capability in modeling the expert emotion as appropriate emotional signal shows better Performance compared with ANFIS, ANN and conventional regression.
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An Emotional Learning based Fuzzy Inference System (ELFIS) for improvement of the completion time of projects estimation
2009 International Conference on Computers & Industrial Engineering, 2009Co-Authors: Seyed Hossein Iranmanesh, Gholam Hossein Mirseraji, Saeed ShahmiriAbstract:This study tries to examine the impacts of Emotional Learning based Fuzzy Inference System (ELFIS) on completion time of projects. For the project management team, on time delivery within budget is a fundamental and important factor that highlights the importance of estimating the completion time of a project during its execution. This study implies four soft computing methods which are Artificial Neural Network (ANN), Adaptive Neuro-Fuzzy Inference System (ANFIS), ELFIS and Conventional Regression to forecast the completion time of projects. Periodical time series for this study are generated by a progress generator program with typical Resource Constrained Project Scheduling (RCPS) problem projects library. Core variables in proposed model consist of known parameters in Earned Value Management System which is SPI (Schedule Performance Index), CPI (Cost Performance Index) and AD (Actual Duration). Using ELFIS capability in modeling the expert emotion as appropriate emotional signal shows better Performance compared with ANFIS, ANN and conventional regression.
Seyed Hossein Iranmanesh - One of the best experts on this subject based on the ideXlab platform.
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An Emotional Learning based Fuzzy Inference System (ELFIS) for improvement of the completion time of projects estimation
2009 International Conference on Computers & Industrial Engineering, 2009Co-Authors: Seyed Hossein Iranmanesh, Gholam Hossein Mirseraji, Saeed ShahmiriAbstract:This study tries to examine the impacts of emotional learning based fuzzy inference system (ELFIS) on completion time of projects. For the project management team, on time delivery within budget is a fundamental and important factor that highlights the importance of estimating the completion time of a project during its execution. This study implies four soft computing methods which are artificial neural network (ANN), adaptive neuro-fuzzy inference system (ANFIS), ELFIS and conventional regression to forecast the completion time of projects. Periodical time series for this study are generated by a progress generator program with typical resource constrained project scheduling (RCPS) problem projects library. Core variables in proposed model consist of known parameters in earned value management system which is SPI (Schedule Performance Index), CPI (cost Performance Index) and AD (actual duration). Using ELFIS capability in modeling the expert emotion as appropriate emotional signal shows better Performance compared with ANFIS, ANN and conventional regression.
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An Emotional Learning based Fuzzy Inference System (ELFIS) for improvement of the completion time of projects estimation
2009 International Conference on Computers & Industrial Engineering, 2009Co-Authors: Seyed Hossein Iranmanesh, Gholam Hossein Mirseraji, Saeed ShahmiriAbstract:This study tries to examine the impacts of Emotional Learning based Fuzzy Inference System (ELFIS) on completion time of projects. For the project management team, on time delivery within budget is a fundamental and important factor that highlights the importance of estimating the completion time of a project during its execution. This study implies four soft computing methods which are Artificial Neural Network (ANN), Adaptive Neuro-Fuzzy Inference System (ANFIS), ELFIS and Conventional Regression to forecast the completion time of projects. Periodical time series for this study are generated by a progress generator program with typical Resource Constrained Project Scheduling (RCPS) problem projects library. Core variables in proposed model consist of known parameters in Earned Value Management System which is SPI (Schedule Performance Index), CPI (Cost Performance Index) and AD (Actual Duration). Using ELFIS capability in modeling the expert emotion as appropriate emotional signal shows better Performance compared with ANFIS, ANN and conventional regression.
Gholam Hossein Mirseraji - One of the best experts on this subject based on the ideXlab platform.
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An Emotional Learning based Fuzzy Inference System (ELFIS) for improvement of the completion time of projects estimation
2009 International Conference on Computers & Industrial Engineering, 2009Co-Authors: Seyed Hossein Iranmanesh, Gholam Hossein Mirseraji, Saeed ShahmiriAbstract:This study tries to examine the impacts of emotional learning based fuzzy inference system (ELFIS) on completion time of projects. For the project management team, on time delivery within budget is a fundamental and important factor that highlights the importance of estimating the completion time of a project during its execution. This study implies four soft computing methods which are artificial neural network (ANN), adaptive neuro-fuzzy inference system (ANFIS), ELFIS and conventional regression to forecast the completion time of projects. Periodical time series for this study are generated by a progress generator program with typical resource constrained project scheduling (RCPS) problem projects library. Core variables in proposed model consist of known parameters in earned value management system which is SPI (Schedule Performance Index), CPI (cost Performance Index) and AD (actual duration). Using ELFIS capability in modeling the expert emotion as appropriate emotional signal shows better Performance compared with ANFIS, ANN and conventional regression.
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An Emotional Learning based Fuzzy Inference System (ELFIS) for improvement of the completion time of projects estimation
2009 International Conference on Computers & Industrial Engineering, 2009Co-Authors: Seyed Hossein Iranmanesh, Gholam Hossein Mirseraji, Saeed ShahmiriAbstract:This study tries to examine the impacts of Emotional Learning based Fuzzy Inference System (ELFIS) on completion time of projects. For the project management team, on time delivery within budget is a fundamental and important factor that highlights the importance of estimating the completion time of a project during its execution. This study implies four soft computing methods which are Artificial Neural Network (ANN), Adaptive Neuro-Fuzzy Inference System (ANFIS), ELFIS and Conventional Regression to forecast the completion time of projects. Periodical time series for this study are generated by a progress generator program with typical Resource Constrained Project Scheduling (RCPS) problem projects library. Core variables in proposed model consist of known parameters in Earned Value Management System which is SPI (Schedule Performance Index), CPI (Cost Performance Index) and AD (Actual Duration). Using ELFIS capability in modeling the expert emotion as appropriate emotional signal shows better Performance compared with ANFIS, ANN and conventional regression.
Peter P. Chen - One of the best experts on this subject based on the ideXlab platform.
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CsPI: A New Way to Evaluate Cybersecurity Investments: A Position Paper
2017 IEEE International Conference on Software Quality Reliability and Security Companion (QRS-C), 2017Co-Authors: Summer Fowler, Peter P. ChenAbstract:This position paper proposes CsPI (Cybersecurity Performance Index) as a new way to evaluate the cyber security investment decisions and measure the progresses and effects of the investments and projects. In a conventional way, cyber security budgets are usually evaluated by the return on investment (ROI), which has some undesirable side effects. Since we don't ask for return on investment for other similar expenses (like IT or capital), why should we use ROI for cybersecurity? Here, we propose to adopt a well-established technique in the project management field called "earned value" to the field of cyber security. Specifically, what we propose is to measure the progress of cybersecurity expenses against a plan. The plan should include protection, detect, respond, recover goals that cybersecurity expenses (people, process, technology) attempt to meet - and this has to take into account business objectives and threat/vulnerabilities. Similar to the "Cost Performance Index" or "Schedule Performance Index" in Earned Value, we can define "Cybersecurity Performance Index" (CsPI). The main idea is to show how well current cybersecurity expenses are performing against a plan. At the end, future research directions are presented.
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QRS Companion - CsPI: A New Way to Evaluate Cybersecurity Investments: A Position Paper
2017 IEEE International Conference on Software Quality Reliability and Security Companion (QRS-C), 2017Co-Authors: Summer Fowler, Peter P. ChenAbstract:This position paper proposes CsPI (Cybersecurity Performance Index) as a new way to evaluate the cyber security investment decisions and measure the progresses and effects of the investments and projects. In a conventional way, cyber security budgets are usually evaluated by the return on investment (ROI), which has some undesirable side effects. Since we don't ask for return on investment for other similar expenses (like IT or capital), why should we use ROI for cybersecurity? Here, we propose to adopt a well-established technique in the project management field called "earned value" to the field of cyber security. Specifically, what we propose is to measure the progress of cybersecurity expenses against a plan. The plan should include protection, detect, respond, recover goals that cybersecurity expenses (people, process, technology) attempt to meet – and this has to take into account business objectives and threat/vulnerabilities. Similar to the "Cost Performance Index" or "Schedule Performance Index" in Earned Value, we can define "Cybersecurity Performance Index" (CsPI). The main idea is to show how well current cybersecurity expenses are performing against a plan. At the end, future research directions are presented.
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CsPI: A New Way to Evaluate Cybersecurity Investments: A Position Paper
Proceedings - 2017 IEEE International Conference on Software Quality Reliability and Security Companion QRS-C 2017, 2017Co-Authors: Summer Fowler, Peter P. ChenAbstract:—This position paper proposes CsPI (Cybersecurity Performance Index) as a new way to evaluate the cyber security investment decisions and measure the progresses and effects of the investments and projects. In a conventional way, cyber security budgets are usually evaluated by the return on investment (ROI), which has some undesirable side effects. Since we don't ask for return on investment for other similar expenses (like IT or capital), why should we use ROI for cybersecurity? Here, we propose to adopt a well-established technique in the project management field called " earned value " to the field of cyber security. Specifically, what we propose is to measure the progress of cybersecurity expenses against a plan. The plan should include protection, detect, respond, recover goals that cybersecurity expenses (people, process, and technology) attempt to meet – and this has to take into account business objectives and threats/vulnerabilities. Similar to the " Cost Performance Index " or " Schedule Performance Index " in Earned Value, we can define " Cybersecurity Performance Index " (CsPI). The main idea is to show how well current cybersecurity expenses are performing against a plan. At the end of the paper, future research directions are presented. Keywords-cybersecurity investment, return on investment, ROI, earned value, cybersecurity Performance Index, CsPI, IT budget, cost benefit analysis
Summer Fowler - One of the best experts on this subject based on the ideXlab platform.
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CsPI: A New Way to Evaluate Cybersecurity Investments: A Position Paper
2017 IEEE International Conference on Software Quality Reliability and Security Companion (QRS-C), 2017Co-Authors: Summer Fowler, Peter P. ChenAbstract:This position paper proposes CsPI (Cybersecurity Performance Index) as a new way to evaluate the cyber security investment decisions and measure the progresses and effects of the investments and projects. In a conventional way, cyber security budgets are usually evaluated by the return on investment (ROI), which has some undesirable side effects. Since we don't ask for return on investment for other similar expenses (like IT or capital), why should we use ROI for cybersecurity? Here, we propose to adopt a well-established technique in the project management field called "earned value" to the field of cyber security. Specifically, what we propose is to measure the progress of cybersecurity expenses against a plan. The plan should include protection, detect, respond, recover goals that cybersecurity expenses (people, process, technology) attempt to meet - and this has to take into account business objectives and threat/vulnerabilities. Similar to the "Cost Performance Index" or "Schedule Performance Index" in Earned Value, we can define "Cybersecurity Performance Index" (CsPI). The main idea is to show how well current cybersecurity expenses are performing against a plan. At the end, future research directions are presented.
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QRS Companion - CsPI: A New Way to Evaluate Cybersecurity Investments: A Position Paper
2017 IEEE International Conference on Software Quality Reliability and Security Companion (QRS-C), 2017Co-Authors: Summer Fowler, Peter P. ChenAbstract:This position paper proposes CsPI (Cybersecurity Performance Index) as a new way to evaluate the cyber security investment decisions and measure the progresses and effects of the investments and projects. In a conventional way, cyber security budgets are usually evaluated by the return on investment (ROI), which has some undesirable side effects. Since we don't ask for return on investment for other similar expenses (like IT or capital), why should we use ROI for cybersecurity? Here, we propose to adopt a well-established technique in the project management field called "earned value" to the field of cyber security. Specifically, what we propose is to measure the progress of cybersecurity expenses against a plan. The plan should include protection, detect, respond, recover goals that cybersecurity expenses (people, process, technology) attempt to meet – and this has to take into account business objectives and threat/vulnerabilities. Similar to the "Cost Performance Index" or "Schedule Performance Index" in Earned Value, we can define "Cybersecurity Performance Index" (CsPI). The main idea is to show how well current cybersecurity expenses are performing against a plan. At the end, future research directions are presented.
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CsPI: A New Way to Evaluate Cybersecurity Investments: A Position Paper
Proceedings - 2017 IEEE International Conference on Software Quality Reliability and Security Companion QRS-C 2017, 2017Co-Authors: Summer Fowler, Peter P. ChenAbstract:—This position paper proposes CsPI (Cybersecurity Performance Index) as a new way to evaluate the cyber security investment decisions and measure the progresses and effects of the investments and projects. In a conventional way, cyber security budgets are usually evaluated by the return on investment (ROI), which has some undesirable side effects. Since we don't ask for return on investment for other similar expenses (like IT or capital), why should we use ROI for cybersecurity? Here, we propose to adopt a well-established technique in the project management field called " earned value " to the field of cyber security. Specifically, what we propose is to measure the progress of cybersecurity expenses against a plan. The plan should include protection, detect, respond, recover goals that cybersecurity expenses (people, process, and technology) attempt to meet – and this has to take into account business objectives and threats/vulnerabilities. Similar to the " Cost Performance Index " or " Schedule Performance Index " in Earned Value, we can define " Cybersecurity Performance Index " (CsPI). The main idea is to show how well current cybersecurity expenses are performing against a plan. At the end of the paper, future research directions are presented. Keywords-cybersecurity investment, return on investment, ROI, earned value, cybersecurity Performance Index, CsPI, IT budget, cost benefit analysis
