Abstract Waste-derived hydrogen (H 2) has been identified as a clean energy source which
could simultaneously abate greenhouse gas (GHG) emissions and avert municipal solid …

Decision support systems often involve taking into account many factors that influence the
choice of existing options. Besides, given the expert's uncertainty on how to express the …

Accurate disease prediction is an effective way to reduce medical costs. Due to the
difference of eating habits and physical fitness of patients, the traditional disease prediction …

One of the basic objectives of the European Union's energy policy is to obtain and use
energy in a sustainable way. Multiple-criteria decision making (MCDM) methods, in …

Data normalization is a fundamental part of preprocessing in decision-making problems. It
enables aggregating and comparing different decision attributes using Multi-Criteria …

In machine learning, the input data is often given in different dimensions. As a result of the
scientific papers review, it is shown that the initial data described in different types of scales …

The decision-making process is a difficult problem, requiring the decision maker to consider
the pros and cons of given options. Systems based on multi-criteria methods are …

Multi-criteria group decision-making (MCGDM) problems are fundamentally characterized
by uncertainty and ambiguity. The quantification of such data is vital for determining the most …

The office of social affairs has provided the productive economic endeavors (PEE) program
that empowers increasing the income of micros, small and medium enterprises (MSMEs) to …

The TRIAD approach is widely used as a scientific methodology available to deal with site-
specific contamination scenarios. In this study, a soil environmental risk assessments …