Statistical regression analysis is a powerful and reliable method to determine the impact of
one or several independent variable (s) on a dependent variable. It is the most widely used …

Artificial Intelligence (AI) and prescriptive analytics are increasingly being reported as
having transformative powers to enable resilient supply chains (SC). Despite such a benefit …

This study compares building electric energy prediction approaches that use a traditional
statistical method (linear regression) and artificial neural network (ANN) algorithms. We …

Generalized Measure Theory examines the relatively new mathematical area of generalized
measure theory. The exposition unfolds systematically, beginning with preliminaries and …

The main characteristics of the real-world decision-making problems facing humans today
are multidimensional and have multiple objectives including eco nomic, environmental …

In the previous chapter, we have discussed a variety of computationally efficient approaches
for solving crisp multiple objective decision making problems. However, the input data, such …

Load forecasting has been a conventional and important process in electric utilities since the
early 20 th century. Due to the deregulation of the electric utility industry, the utilities tend to …

Many approaches have already been proposed for classification and modeling in the
literature. These approaches are usually based on mathematical mod els. Computer …

Performance analysis has become a vital part of the management practices in the banking
industry. There are numerous applications using DEA models to estimate efficiency in …

In this paper, two kinds of portfolio selection models are proposed based on fuzzy
probabilities and possibility distributions, respectively, rather than conventional probability …