Investment decisions are usually made on the basis of the subjective judgments of experts subjected to the information gap during the preliminary stages of a project. As a consequence, a series of errors in risk prediction and/or decision-making will be generated leading to out of control investment and project failure. In this paper, the variable fuzzy set theory and intelligent algorithms int...

Simulation modeling and analysis requires an investment in human resources and software. And the rewards from using simulation are significant. Many companies fine tune their operations and reduce waste using simulation. But in the end, every time modeling and analysis are performed, a decision has to be made whether the simulation is “worth doing” (Waite 1999). In this paper we will enumerate ...

unsuccessful experiences of two major exhibitions with more than 300 investment projects in mashhad organized with municipalities in 2010 and 2011 and weak implementation of 20 projects, propose the use appropriate methods to identify themes and patterns for components investment projects. this study aims to determine the priorities for investment in the district three of mashhad municipality. ...

Real options valuation (ROV) considers the managerial flexibility to make ongoing decisions regarding implementation of investment projects and deployment of real assets. This paper introduces a simulation-optimization approach to valuing real investment options based on a model containing several decision variables and realistic stochastic inputs. Using this approach, the value of a portfolio ...

The potential growth of railway traffic is expected to be substantial worldwide; hence, railway companies and agencies are looking for better tools to allocate their capital investments to capacity planning in the best possible way. This paper presents a comprehensive decision support framework with three stand-alone tools for strategic railway capacity planning: (1) “Alternatives Generator,” w...

This paper studies optimal investment and the dynamic cost of income uncertainty, applying a stochastic programming approach. The motivation is given by a case study in Finnish agriculture. Investment decision is modelled as a Markov decision process, extended to account for risk. A numerical model for computing the dynamic uncertainty cost is presented, applying the classical expected value of...

The decision-theoretic rough set model is adopted to derive a profit-based three-way approach to investment decision-making. A three-way decision is made based on a pair of thresholds on conditional probabilities. A positive rule makes a decision of investment, a negative rule makes a decision of noninvestment, and a boundary rule makes a decision of deferment. Both cost functions and revenue f...

Our objective in this paper is to develop a decision-making model to assist decision-makers and researchers in understanding the effect of multiple criteria decision-making on a capital budgeting investment. This decision-making model helps decision-makers with reducing decision-making time and choosing a suitable decision alternative for a capital budgeting investment within the companies’ goa...

The Australian investment in technological support for the collection and analysis of hospital data has paid off in the creation of data depositories that can be used for system and policy analysis. Yet the inquiries that would inform decision for quality and efficiency improvement are made at the operational levels where there has not been equivalent investment in developing human capacity. Th...

Investment decisions are strategic decisions that require a thorough analysis of risk, because the risk management is a basis of decision making. The goal of investing is not just profit in a certain period of time, but depending on the preferences of the decision maker, there should be a compromise between maximizing the expected return on investment and efforts to reduce the risk to a minimum...