This systematic review aims to evaluate the efficacy of fuzzy multi-objective optimization
techniques in supporting decision-making in financial portfolio management under …

The influence of Artificial Intelligence is growing, as is the need to make it as explainable as
possible. Explainability is one of the main obstacles that AI faces today on the way to more …

To avoid the complexity and time consumption of traditional statistical and mathematical
programming, intelligent techniques have gained great attention in different financial …

This study developed specific criteria and a fuzzy analytic network process (FANP) to assess
and select portfolios on the Tehran Stock Exchange (TSE). Although the portfolio selection …

In this paper, a multi-objective algorithm is presented for optimal power management and
design of a hybrid Wind/Photovoltaic/generation system with hydrogen energy storage …

Investment decision making is usually a multi-objective optimization problem in an uncertain
environment. In a real-life scenario, an investor aims to choose a portfolio based on his/her …

The minimisation of discrimination time between main and backup overcurrent (OC) relays is
one of the most important issues in power system relays coordination. On account of the …

Over the years, portfolio optimization remains an important decision-making strategy for
investment. The most familiar and widely used approach in the field of portfolio optimization …

Designing an optimum portfolio that allocates weights to its constituent stocks in a way that
achieves the best trade-off between the return and the risk is a challenging research …

This paper presents a decentralized robust mixed control strategy for autonomous/islanded
multidistributed energy resources (multi-DER) voltage-sourced converter based microgrids …