The application of Artificial Intelligence (AI) to financial investment is a research area that
has attracted extensive research attention since the 1990s, when there was an accelerated …

Portfolio formation in financial markets is the task of not taking non-necessary risks.
Quantitative investment powered by machine learning has opened many new opportunities …

Paper aims To do a comprehensive review of the exact and heuristic methods,
software/programming languages, constraints, and types of analysis (technical and …

In the past, investors used their own or others' experiences to achieve their goals. With the
development of financial management, investors' choices became more scientific. They …

Multi-attribute decision making (MADM) refers to a decision problem of choosing the best
alternative or carrying out the ranking of alternatives under multiple attributes, and it is a key …

Multi-attribute group decision making (MAGDM) model which uncovers the preferences of
individuals has become increasingly important in enhancing the efficiency of expert systems …

Psychological behavior could play a key role in many decision-making situations, therefore
introducing it into the decision-making process might lead to better decisions being made. In …

Although the concept of Industrial 4.0 has been well accepted, only few studies have dealt
with real-time production scheduling of smart factories. Due to the advantages of simplicity …

This paper presents a methodology for making decisions in the stock market using the AHP-
TOPSIS multi-criteria technique. The problem is related to the stock market's investment …

In recent years, various medical diagnosis problems have been addressed from the
perspective of multi-attribute decision making. Among them, the three-way decision theory …