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Iranian Journal of Fuzzy Systems - University of Sistan & Baluchestan | 2024 Impact Factor:1.9 | Cite Score:3.0 | Q2

Iranian Journal of Fuzzy Systems - University of Sistan & Baluchestan

Impact Factor and Journal Rank of Iranian Journal of Fuzzy Systems

  • About: The Iranian Journal of Fuzzy Systems is a peer-reviewed journal dedicated to the advancement and dissemination of research in the field of fuzzy systems. It focuses on theories, methodologies, applications, and advancements related to fuzzy logic and its applications across various domains.
  • Objective:
    The objective of the Iranian Journal of Fuzzy Systems is to provide a platform for researchers, practitioners, and academics to publish original research articles, reviews, and case studies that contribute to the understanding and development of fuzzy systems. The journal aims to foster collaboration and exchange of ideas among scholars and professionals in the field.
  • Focus Areas:
    The journal covers a wide range of topics including, but not limited to: Fuzzy logic and reasoning Fuzzy set theory and extensions Fuzzy decision making and optimization Fuzzy control and robotics Fuzzy systems in pattern recognition Fuzzy systems in image processing Fuzzy systems in data mining and machine learning Fuzzy systems in economics and finance Applications of fuzzy logic in engineering and technology Hybrid and adaptive fuzzy systems
  • Impact:
    The Iranian Journal of Fuzzy Systems contributes significantly to the field of fuzzy systems by publishing high-quality research that advances theoretical understanding and practical applications. It influences academic research, industrial developments, and technological innovations in fuzzy logic and its applications.
  • Significance:
    The journal significance lies in its role as a prominent publication for researchers and practitioners interested in fuzzy systems. It provides a comprehensive platform for the dissemination of cutting-edge research and facilitates the application of fuzzy logic across diverse fields, promoting innovation and interdisciplinary collaboration.

  • Editor-in-Chief:  M. M. Zahedi

  • Scope: The journal covers a wide range of topics, including but not limited to:
  • Foundations of Fuzzy Systems: Theoretical aspects and mathematical foundations of fuzzy sets and systems.
  • Pure Mathematics: Applications of fuzzy logic in mathematical disciplines and abstract algebra.
  • Artificial Intelligence: Integration of fuzzy systems with AI techniques, including machine learning and neural networks.
  • Robotics: Applications of fuzzy logic in robot control, navigation, and decision-making.
  • Data Analysis and Data Mining: Fuzzy logic applications in data analytics, clustering, and knowledge discovery.
  • Decision Making: Fuzzy approaches to decision support systems and multi-criteria decision-making.
  • Finance and Management: Applications of fuzzy systems in financial modeling, risk assessment, and management.
  • Information Systems: Fuzzy logic applications in database systems, information retrieval, and knowledge representation.
  • Operations Research: Fuzzy optimization techniques and applications in operational decision-making.
  • Pattern Recognition and Image Processing: Fuzzy methods for pattern recognition, image enhancement, and computer vision.
  • Soft Computing: Synergies between fuzzy logic, neural networks, evolutionary algorithms, and other soft computing paradigms.
  • Uncertainty Modeling: Fuzzy set theory as a tool for modeling and managing uncertainty in complex systems.
  • Latest Research Topics for PhD in Computer Science

  • Print ISSN:  17350654

    Electronic ISSN:  

  • Abstracting and Indexing:  Scopus, Science Citation Index Expanded

  • Imapct Factor 2024:  1.9

  • Subject Area and Category:   Computer Science, Artificial Intelligence, Computer Science Applications, Decision Sciences, Information Systems and Management, Mathematics, Mathematics (miscellaneous)

  • Publication Frequency:  

  • H Index:  39

  • Best Quartile:

    Q1:  

    Q2:  Information Systems and Management

    Q3:  

    Q4:  

  • Cite Score:  3.0

  • SNIP:  0.664

  • Journal Rank(SJR):  0.340