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 aims to contribute significantly to the theory, methodology, and practical applications of soft computing techniques in diverse settings.

Scope and Coverage:

  • Evolutionary Algorithms and Machine Learning: Investigating the theoretical foundations and practical utility of evolutionary algorithms, machine learning, and deep learning problem-solving across various domains.

  • Fuzzy Sets and Their Extensions, Indeterminacy and Uncertainty Modeling: Focused on the development and applications of fuzzy and neutrosophic sets to deal with uncertainty and impreciseness in science and engineering.

  • Multi-Objective Optimization: A specialized focus on optimization approaches that deal with soft computing. Topics cover Pareto Soft Computing Fusion with Applications, trade-off analysis, and applications in sustainable development.

  • Data Science and Big Data Modeling: Addressing the challenges and opportunities presented by big data and data science by employing soft computing techniques for data analytics, modeling, and decision-making.

  • Engineering and Industrial Applications: Exploring applications of soft computing techniques in engineering design, renewable energy systems, project management, and supply chain management.

  • Smart Cities and IoT Security: Researching soft computing solutions for smart city development, IoT security challenges, and next-generation networking protocols.

  • Emerging Topics: Innovative research, cutting-edge methodologies, and novel applications that are extending the boundaries of soft computing and its interdisciplinary fusion.

  • Interdisciplinary Collaboration: SCFA values interdisciplinary research that leverages soft computing methodologies in diverse contexts, promoting a richer understanding of complex real-world problems.

Journal Features:

  • Publication Frequency: SCFA publishes two online issues per year. Accepted papers with complete bibliographic data are continuously added to the issue throughout the quarter.

  • Open Access: SCFA is an open-access journal, providing free access to all its content for users and institutions. Articles can be read, downloaded, and shared without requiring prior permission from the publisher or authors.

  • EISSN (Online): 3042-0180

  • Publication Fee: Free of charge.

  • Publishers: Research Expansion Alliance

By bridging gaps between diverse fields such as computer science, engineering, data science, and decision sciences, SCFA aims to be a catalyst for innovation, interdisciplinary research, and the practical application of soft computing methodologies worldwide.