Global real estate investments have been one of the popular investment areas since developments in transportation vehicles among countries, significant reduction in travelling costs, and suitable legal arrangements for purchasing real estates in a foreign country have made it attractive. This investment decision is composed of three stages: Selection of a country, selection of a city, and selec...

This paper discusses the use of fuzzy logic and modeling as a decision making support for long-term investment decisions on financial markets. A simple model is proposed to calculate recommendations for the investors. This research required thorough analysis of historical data that lead to discovery of interesting dependencies between the Dow Jones index, currency pairs, oil price and the VIX v...

In this paper, an algorithm is proposed to perform investment decision in a fuzzy environment. This algorithm considers both economic and strategic factors to select the optimal investment project. By using this algorithm, the ambiguities involved in the assessment data can be effectively represented and processed to assure a more convincing and effective decision-making. Finally, the air logis...

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...

Meta-cognition allows one to monitor and adaptively control cognitive processes. It guides people to select, evaluate, revise, and abandon cognitive tasks, goals, and strategies. Also, meta-cognition can play an important role in human-like software agents. It includes meta-cognitive knowledge, meta cognitive monitoring, and meta cognitive regulation. The main purpose of this research paper is ...

In the areas of investment research and applications, feasible quantitative models include methodologies stemming from soft computing for prediction of financial time series, multi-objective optimization of investment return and risk reduction, as well as selection of investment instruments for portfolio management, etc. Among all these, stock selection has long been identified as a challenging...

The main purpose of this paper is to propose a fuzzy approach for investment project valuation in uncertain environments from the aspect of real options. The traditional approaches to project valuation are based on discounted cash flows (DCF) analysis which provides measures like net present value (NPV) and internal rate of return (IRR). However, DCF-based approaches exhibit two major pitfalls....

To calculate partial and total productivity of production factors in broiler farms in Yazd province, 72 manufacturing units were selected based on simple random sampling method and their information and statistics were collected for one production period in the second half of 2013. To measure productivity, the Cobb-Douglas production function was estimated using classic and fuzzy regression met...