The need to manage project risk, through the use of decision analysis tools and other approaches will only increase in the future. Several statistical methods are applied to simulate, in a project risk environment, a simple multiobjective optimization problem. Through the use of the NSGA-II genetic algorithm, coded in Python, and the employment of PROMETHEE to rank the alternatives generated, a method for determining where along a Pareto frontier to focus effort upon to produce the maximum amount of risk mitigation will be introduced. The combined use of these decision analysis tools and the presentation, in context to project risk within project networks, is innovative in the area of Multi-Criteria Decision Making and Project Risk Manageme...
Maximizing profitability and minimizing risk in financial assets portfolios has been commonly solved...
The thesis answers several questions concerning how people behave in an economic context if behavior...
Cost-sensitive multiclass classification problems, in which the task of assessing the impact of the ...
The construction industry has unique supply chain relationships given the fact it is project based. ...
In this study we perform a comparison between the Dow Jones Industrial Average and the FTSE 100 inde...
Natural disasters have both severe negative short-term consequences on community structures, inhabit...
Everyday tradeoff decisions are made where criteria must be compared, evaluated, and decided upon....
Our goal is to investigate strategies to deal with the risks associated with holding asset in the st...
Forestry is a very specific branch of industry, dependant on biotic and abiotic hazards of productio...
With tools, resources, and journal sources from the internet, various methods of short-term trading ...
The first essay considers a model in which an entrepreneur develops a technology and seeks to sell a...
Due to the Basel III regulations, Value-at-Risk (VaR) as a risk measure has become increasingly impo...
This project seeks to use reinforcement learning to develop AI agents used to controlled NPCs in vid...
Algorithms are increasingly present in everyday life. These tools have moved beyond their traditiona...
Variable selection is an important topic in regression analysis and is intended to select the best s...
Maximizing profitability and minimizing risk in financial assets portfolios has been commonly solved...
The thesis answers several questions concerning how people behave in an economic context if behavior...
Cost-sensitive multiclass classification problems, in which the task of assessing the impact of the ...
The construction industry has unique supply chain relationships given the fact it is project based. ...
In this study we perform a comparison between the Dow Jones Industrial Average and the FTSE 100 inde...
Natural disasters have both severe negative short-term consequences on community structures, inhabit...
Everyday tradeoff decisions are made where criteria must be compared, evaluated, and decided upon....
Our goal is to investigate strategies to deal with the risks associated with holding asset in the st...
Forestry is a very specific branch of industry, dependant on biotic and abiotic hazards of productio...
With tools, resources, and journal sources from the internet, various methods of short-term trading ...
The first essay considers a model in which an entrepreneur develops a technology and seeks to sell a...
Due to the Basel III regulations, Value-at-Risk (VaR) as a risk measure has become increasingly impo...
This project seeks to use reinforcement learning to develop AI agents used to controlled NPCs in vid...
Algorithms are increasingly present in everyday life. These tools have moved beyond their traditiona...
Variable selection is an important topic in regression analysis and is intended to select the best s...
Maximizing profitability and minimizing risk in financial assets portfolios has been commonly solved...
The thesis answers several questions concerning how people behave in an economic context if behavior...
Cost-sensitive multiclass classification problems, in which the task of assessing the impact of the ...