The selection of appropriate renewable energy sources (RESs) for a region is a complex
multi-criteria decision-making problem because the RES selection process involves many …

Higher-order fuzzy decision-making methods have become powerful tools to support
decision-makers in solving their problems effectively by reflecting uncertainty in calculations …

In this paper, we propose a new score function of Fermatean fuzzy numbers (FFNs). The
proposed score function of FFNs can conquer the drawbacks of the existing score function of …

The environment and economy benefit from the sustained growth of a high-quality green
supplier. During a supplier evaluation and selection process, DMs tend to use fuzzy tools to …

The deployment of low-carbon energy (LCE) technologies and management of installations
represents an imperative to face climate change. LCE planning is an interminable process …

Bipolar complex fuzzy set (BCFS) is an enlargement of the bipolar fuzzy set and complex
fuzzy set. A bipolar complex fuzzy number (BCFN) is used to represent both the bipolarity of …

Under the global implementation of low-carbon economy, the development of renewable
energy becomes an important way of energy saving and emission reduction. Multi-criteria …

The assessment of investment risk for the countries along the route in Belt and Road (B&R)
can be deemed as a multiple criteria group decision making (MCGDM) issue since multiple …

Pythagorean fuzzy sets (PyFSs) are an essential tool for characterizing fuzzy data in
decision-making processes. In contrast to normal fuzzy structures, PyFSs feature a sum of …

The age of industrialization and modernization has increased energy demands globally.
Solar energy has been recognized as an inexhaustible source of energy and has been …