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International Journal of Fuzzy Logic and Intelligent Systems - Korean Institute of Intelligent Systems | 2024 Cite Score:3.1 | Q3

International Journal of Fuzzy Logic and Intelligent Systems With Cite Score

Cite Score and Journal Rank of International Journal of Fuzzy Logic and Intelligent Systems

  • About: International Journal of Fuzzy Logic and Intelligent Systems (IJFLIS) is a peer-reviewed journal dedicated to the study and application of fuzzy logic and intelligent systems. It explores the development and application of fuzzy logic, computational intelligence, and intelligent systems in solving complex problems across various domains. The journal covers a range of topics including fuzzy sets, fuzzy inference systems, neural networks, genetic algorithms, and hybrid intelligent systems. IJFLIS aims to advance the field by providing a platform for high-quality research and innovative applications in fuzzy logic and intelligent systems.
  • Objective:
    The primary objective of IJFLIS is to advance the understanding and application of fuzzy logic and intelligent systems through the publication of significant research findings and technological innovations. The journal seeks to offer a comprehensive resource for researchers, practitioners, and educators to explore new theories, methodologies, and applications in fuzzy logic and computational intelligence. IJFLIS aims to support the development of effective solutions and strategies for addressing complex problems using fuzzy logic and intelligent systems.
  • Interdisciplinary Approach:
    IJFLIS adopts an interdisciplinary approach, encouraging contributions from various fields such as computer science, artificial intelligence, control systems, operations research, and engineering. This approach ensures a broad examination of fuzzy logic and intelligent systems topics, integrating different perspectives and methodologies. By promoting interdisciplinary research, the journal addresses multifaceted challenges and fosters the development of integrated solutions that advance the state of knowledge in fuzzy logic and intelligent systems.
  • Impact:
    The journal has a significant impact on both academic research and practical applications in fuzzy logic and intelligent systems. It is widely cited by researchers, practitioners, and industry professionals interested in the latest developments in these fields. The research published in IJFLIS contributes to the advancement of new technologies, methodologies, and applications that enhance the capabilities and effectiveness of fuzzy logic and intelligent systems. The journal serves as a valuable resource for those involved in research, development, and implementation in fuzzy logic and computational intelligence.
  • Significance:
    IJFLIS plays a crucial role in advancing the study and application of fuzzy logic and intelligent systems by providing a platform for high-quality research and practical insights. Its contributions support the development of innovative solutions and technologies that address current and emerging challenges in these domains. The journals commitment to excellence and its interdisciplinary focus make it an essential resource for anyone involved in research, development, and application in fuzzy logic and intelligent systems. Through its rigorous scholarship and broad coverage, IJFLIS helps shape the future of fuzzy logic and intelligent systems.

  • Editor-in-Chief:  Jin-Woo Jung

  • Scope: The International Journal of Fuzzy Logic and Intelligent Systems focuses on the development and application of fuzzy logic and intelligent systems. Its scope includes, but is not limited to:
  • Fuzzy Logic: Research on fuzzy logic theory and its applications, including fuzzy set theory, fuzzy inference systems, fuzzy control, and fuzzy decision-making.
  • Intelligent Systems: Studies on the design and implementation of systems that exhibit intelligent behavior, including expert systems, neural networks, and hybrid intelligent systems.
  • Machine Learning and AI: Exploration of machine learning algorithms and artificial intelligence techniques within the context of fuzzy logic, including supervised and unsupervised learning, reinforcement learning, and deep learning.
  • Fuzzy Control Systems: Research on the development and application of fuzzy control systems for managing complex processes, including industrial control, robotics, and autonomous systems.
  • Fuzzy Decision-Making: Studies on decision-making processes and methodologies using fuzzy logic, including multi-criteria decision analysis, group decision-making, and decision support systems.
  • Data Mining and Knowledge Discovery: Research on techniques for extracting patterns and knowledge from data using fuzzy logic, including fuzzy clustering, fuzzy classification, and fuzzy association rules.
  • Neuro-Fuzzy Systems: Exploration of systems that combine neural networks and fuzzy logic to enhance learning and decision-making capabilities, including adaptive neuro-fuzzy inference systems (ANFIS).
  • Fuzzy Modeling and Simulation: Studies on modeling and simulation techniques using fuzzy logic, including fuzzy system modeling, simulation of fuzzy systems, and fuzzy system optimization.
  • Computational Intelligence: Research on computational models and algorithms inspired by natural systems, including fuzzy logic, evolutionary algorithms, swarm intelligence, and hybrid intelligent systems.
  • Applications of Fuzzy Logic: Exploration of practical applications of fuzzy logic in various domains, including engineering, finance, healthcare, manufacturing, and telecommunications.
  • Soft Computing: Research on soft computing techniques that complement fuzzy logic, including genetic algorithms, simulated annealing, and particle swarm optimization.
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  • Print ISSN:  15982645

    Electronic ISSN:  2093744X

  • Abstracting and Indexing:  Scopus

  • Imapct Factor :  

  • Subject Area and Category:   Computer Science, Artificial Intelligence, Computational Theory and Mathematics, Computer Science Applications, Signal Processing, Mathematics, Logic

  • Publication Frequency:  

  • H Index:  19

  • Best Quartile:

    Q1:  

    Q2:  

    Q3:  Artificial Intelligence

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  • Cite Score:  3.1

  • SNIP:  0.676

  • Journal Rank(SJR):  0.331