About the Journal
Soft Computing Fusion with Applications (SCFA) is a peer-reviewed, interdisciplinary scientific journal committed to advancing research and applications in the fields of soft computing, computational intelligence, and decision sciences. The journal serves as 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 set and its 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.
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Dr.Mohamed Abdel-Basset
Faculty of Computers and Informatics, Zagazig University, Zagazig 44519, Egypt.
   Research interests: Soft computing; Neutrosophic Sets; Plithogenic Set; Computational Intelligence; Decision Support Systems; Robust Optimization; Engineering Optimization; Swarm Intelligence; Evolutionary Algorithms; Artificial Neural Networks
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