ISSN (Print):
2666-2949
ISSN (Online):
2666-2957
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Journal of Fuzzy Logic and Modeling in Engineering

(Continued as Journal of Intelligent Systems in Current Computer Engineering) Limited Time Complementary OA Offer Papers submitted before June 30, 2024, will be published as Open Access free of charge

Volume 2 , 2024

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Aims & Scope:

The purpose of the Journal of Fuzzy Logic and Modeling in Engineering is to publish recent advancements in the theory of fuzzy sets and disseminate the results of these advancements. The journal focuses on the disciplines of industrial engineering, control engineering, computer science, electrical engineering, mechanical engineering, civil engineering, management engineering and others. The scope of the journal involves fuzzy theory and applications in every branch of science and technology.

Original research articles and reviews in the following areas of the fuzzy set theory are of special interest to the readers of this journal:

  • Computing with Words and Granular Computing
  • Extensions of fuzzy sets: intuitionistic fuzzy sets, hesitant fuzzy sets, neutrosophic sets, spherical fuzzy sets.
  • Fuzzy Clustering
  • Fuzzy Control
  • Fuzzy Data Analysis, Fuzzy Clustering, Classification and Pattern Recognition
  • Fuzzy Database
  • Fuzzy Decision Making and Decision Support Systems
  • Fuzzy Expert System
  • Fuzzy Logic Systems
  • Fuzzy Logic Techniques and Algorithms
  • Fuzzy Mathematical Programming
  • Fuzzy Mathematics
  • Fuzzy Measure and integral
  • Fuzzy Neural Systems, Neuro-Fuzzy Systems
  • Fuzzy Pattern Recognition
  • Fuzzy Process Control
  • Fuzzy Reasoning System
  • Fuzzy Sets in Bioinformatics
  • Fuzzy System Applications in Computer Vision
  • Fuzzy System Applications in E-commerce
  • Fuzzy System Applications in Human-Machine Interface
  • Fuzzy System Applications in Robotics, Sensors, Fuzzy Hardware and Architectures
  • Fuzzy System in Multimedia and Web-Based Applications
  • Fuzzy Systems Design and Optimization
  • Fuzzy Systems Modeling and Identification
  • Fuzzy Systems with Big Data and Cloud Computing, Fuzzy Analytics and Visualization
  • Fuzzy-Rule Based System
  • Hybrid Fuzzy Systems (fuzzy-neuro-evolutionary-rough)
  • Possibility Theory and Imprecise Probabilit
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