International Journal of Hybrid Intelligent Systems (IJHIS)

The International Journal of Hybrid Intelligent Systems (IJHIS) is a well-established peer-reviewed scholarly journal that publishes high-quality research on the development and application of hybrid intelligent systems. Since its inception in 2004, IJHIS has provided academics, researchers, and practitioners with a central platform to share cutting-edge findings that illustrate how hybridization of multiple intelligent paradigms can effectively address complex computational and decision-making challenges. Hybrid intelligent systems combine complementary techniques—such as neural networks, fuzzy logic, evolutionary algorithms, rule-based models, and agent-based structures—to produce systems that are more robust, flexible, interpretable, and capable of handling uncertainty and dynamic environments than their individual components alone. The journal welcomes original research articles, methodological developments, theoretical analyses, and applications in fields like pattern recognition, intelligent control, autonomous robotics, machine vision, data analytics, bioinformatics, and smart environments. IJHIS also emphasizes interdisciplinary approaches that integrate artificial intelligence with real-world problem domains, bridging the gap between theoretical foundations and practical implementation. Indexed in reputable bibliographic databases and published quarterly, IJHIS continues to shape scholarly discourse in hybrid computational intelligence and inspire future innovation

International Journal of Hybrid Intelligent Systems (IJHIS) is :-

• International, Peer-Reviewed, Open Access, Refereed, Artificial Intelligence, Computer Science (miscellaneous), General Mathematics, machine learning, adaptive systems, evolutionary computing, pattern recognition, data mining, robotics, cognitive computing, autonomous systems, socio-technical hybrid models., daptable, and efficient intelligent solutions in science, engineering, business analytics, decision support systems , Online or Print , Quarterly Journal

• UGC Approved, ISSN Approved: P-ISSN P-ISSN: 1448-5869, E-ISSN: 1875-8819, Established: 2004,
• Does Not Provide Crossref DOI

• Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE