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...

Participatory multi-criteria analysis (PMCA) methods are increasingly used to inform decision-makers. The methodology can theoretically be used to enhance energy justice for sustainability transitions due to their participatory elements. This study examines PMCA applications in emerging energy...