With the advent of Big Data, managing large-scale portfolios of thousands of securities is one of the most challenging tasks in the asset management industry. This study uses an evolutionary multi objective technique to solve large-scale portfolio optimisation problems with both long-term listed...

The globalization of world economy intensified the growth of containerized transportation since decades which shows several benefits of reducing the cost and damage of potential goods, consequently, plays an eminent role in intermodal trading which can prolong economic development. Due to its...

Demand forecasting methods usually adopt the approach of minimizing certain forms of error or maximizing a likelihood function. However, for an end user, such objective functions are often the means to achieve optimum results over various key performance indicators in respective domains. A...

In group decision-making (GDM), there exist cognitive and realistic uncertainties and humans exhibit hesitation and ambiguity. Using probabilistic linguistic term sets (PLTSs) can better adapt to the above challenges. However, the current PLTS-based methods rarely take the subjectivity and...

Proposing a full ranking method to rank all the homogeneous decision-making units (DMUs) is one of the important issues in data envelopment analysis (DEA) field. It should be noted that one of the main challenges in using traditional ranking approaches to real-world applications is the presence...

The banking industry is one of the most important pillars of financial markets that the effective performance of this industry has a decisive role in the growth and prosperity of the country's economy. Therefore, considering the key position and role of banks in economic growth and inflation...

Renewable energy has been a worldwide interest due to a growing energy demand as well as a mounting concern over the hostile impacts from traditional fuels. One of a direction for future renewable energy is the use of biofuel. In this research, we initially apply the K-means algorithm to...