This paper explores the use of an intuitive decision support model for evaluating and selecting corporate bonds. The model is based on the Analytic Hierarchy Process (AHP), which enables an individual investor and a portfolio manager to identify the relative impacts of multiple criteria derived from the assessment of a particular investment environment. It also allows the pairwise comparisons o...

Title of Document: ELECTRONIC PROGNOSTICS AND HEALTH MANAGEMENT: A RETURN ON INVESTMENT ANALYSIS Kiri Feldman, Master of Science, 2008 Directed By: Dr. Peter Sandborn, Associate Professor, Department of Mechanical Engineering Prognostics and Health Management (PHM) provides the potential to lower sustainment costs, to improve maintenance decision-making, and to provide product usage feedback in...

Artificial intelligence decision support system is always a popular topic in providing the human user with an optimized decision recommendation when operating under uncertainty in complex environments. The particular focus of our discussion is to compare different methods of artificial intelligence decision support systems in the investment domain – the goal of investment decision-making is to ...

Decision makers’ choices are often influenced by visual background information. This study uses open-ended equity funds in Taiwan to investigate three well-known optimal portfolio models, including the mean-variance, maximin, and minimization of mean absolute deviation. The optimal portfolios are then visualized on Decision Balls to assist investors in making investment decisions. By observing ...

Based on the theory of real options, this paper establishes a investment decision-making model that could evaluate the development of CCS considering some uncertainties: feed-in tariff, the clean price, carbon price, incentives and subsidies from the government and the progress of technology. This model calculates the investment value of CCS project by studying the binomial tree model of real o...

The main aim of this study, introduce a model todetermine the optimal values of the index value to minimize thetotal expected cost index and also the best decision making inselecting the industry and the region for investment by investors.For this purpose, the technique of linear programming to determinethe optimal values of the index value is used. Finally, FuzzyTOPSIS technique to prioritize ...

the goal of this paper is to show how the concept of fuzzy logic can be used to establish a degree to which an investment project belongs to a class of risk. also, the probability of the fuzzy event is presented and is ap-plied to calculate the probability of the fuzzy event “the project x is a good investment”. this process has to enable the decision maker to compare several alternative invest...