Reverse logistics (RL) have received the attention of the practitioners and researchers of the fields of supply chain and logistics due to, inter alia, the increase in public awareness, boundless waste generation, and environmental issues. To formulate RL issues, multi-objective decision-making...

This study presents an integrated multi-criteria decision-making (MCDM) and multi-objective optimization model for green supplier evaluation and optimal order allocation under uncertainty. The Fuzzy-Delphi method is used to refine supplier evaluation criteria, determining the weight of criteria,...

In the context of multicriteria decision making (MCDM), it is frequently observed that the representation of cognitive information may not always be sufficient using hesitant Pythagorean fuzzy set (HPFS). From this perspective, the interval-valued hesitant Pythagorean fuzzy (IVHPF) set is more...

Cognitive function impairment may seriously hamper the day-to-day activities of human beings. Investigating different risk factors of cognitive function impairment had been an area of immense interest among researchers that led to the identification of several factors. However, studies for...

This paper proposes a novel multiple-criteria decision-making (MCDM) framework for performance measurement in higher education institutions (HEIs) using semi-structured interviews, expert panels, and questionnaires. The proposed method comprises the fuzzy Delphi method (FDM) and Best-Worst...

Our purpose in this paper is to develop an integrated multicriteria evaluation methodology for assessing the impact of COVID-19 in the 27 countries of the European Union. Initially, a specialized and comprehensive set of normalized criteria metrics that capture several dimensions of the...

The COVID-19 pandemic is unleashing crises of humanity, economy, and finance. Portfolio selection is widely recognized as the foundation of modern financial economics. Therefore, it is naturally crucial and inviting to utilize portfolio selection in order to counter COVID-19 in stock markets. We...

Multi-reservoir system operation is a challenging and complex task, because of the curse of uncertainties, nonlinearities, dimensionalities and conflicts among the various contradictory objectives. Contemporaneous optimization of such competing objectives needs improving the capability of...

The East African Community EAC (Kenya, Tanzania, Uganda, Rwanda, Burundi and South Sudan) is still challenged by energy poverty for its socio-economic development. A continuous and fast growing energy demand is expected in this region due to varied factors, such as; high population growth-rate,...