About the Journal
Soft Computing Fusion with Applications (SCFA) is a premier international peer-reviewed journal committed to propelling innovation and excellence in the realm of soft computing and its fusion with other scientific and industrial domains. SCFA is a nexus for academics, industry professionals, and researchers worldwide to share high-quality scientific papers that explore the synergies between various soft computing techniques and their practical applications. SCFA encompasses a wide range of topics, including but not limited to evolutionary algorithms, machine learning, fuzzy sets, and their extensions, as well as their applications in areas like engineering design, data science, and intelligent systems. By connecting theoretical frameworks with real-world challenges, SCFA aims to push the boundaries of what soft computing technologies can achieve.
 |
Mohamed Abdel-Basset
Faculty of Computers and Informatics, Zagazig University, Zagazig 44519, Egypt.
     Research interests: Soft computing; Neutrosophic Sets; Plithogenic sets; Computational Intelligence; Decision support; Engineering Optimization; Swarm Intelligence; Evolutionary Algorithms; Artificial Neural Networks
|
Current Issue
Metrics
