International Journal of Knowledge-Based and Intelligent Engineering Systems
Scope & Guideline
Unleashing Potential through Intelligent System Research
Introduction
Aims and Scopes
- Multi-Attribute Decision-Making (MADM):
The journal emphasizes methodologies for multi-attribute decision-making, employing various fuzzy and neutrosophic approaches to address complex decision scenarios across different domains. - Intelligent Systems and Algorithms:
Research related to the development and application of intelligent algorithms, including machine learning, artificial intelligence, and optimization techniques, is a core focus, particularly in enhancing decision-making processes. - Applications in Diverse Fields:
The journal showcases applications of knowledge-based systems in various fields such as education, healthcare, environmental management, and engineering, demonstrating the practical impact of research findings. - Fuzzy Logic and Neutrosophic Theory:
A significant portion of the journal's articles explores fuzzy logic and neutrosophic theories, providing innovative frameworks for handling uncertainty and imprecision in decision-making. - Data Analytics and Decision Support:
The integration of big data analytics with decision-support systems is highlighted, showcasing how advanced data processing techniques can enhance the effectiveness of decision-making frameworks.
Trending and Emerging
- Advanced Fuzzy and Neutrosophic Decision-Making Techniques:
There is an increasing trend in the development and application of advanced fuzzy and neutrosophic decision-making techniques, which are being applied to complex evaluation problems across various domains. - Integration of Big Data and AI:
The integration of big data analytics with artificial intelligence techniques is becoming a prominent theme, as researchers explore how these technologies can enhance decision-making processes and outcomes. - Real-Time and Intelligent Systems:
Emerging research focuses on real-time applications of intelligent systems, particularly in areas like autonomous vehicles and dynamic data processing, highlighting the growing importance of real-time decision-making capabilities. - Sustainability and Energy Efficiency:
Sustainability-related themes, particularly energy efficiency and environmental impact assessments, are increasingly prevalent, reflecting a broader societal focus on sustainable development and resource management. - Educational Technology and Evaluation:
The application of intelligent decision-making frameworks in educational settings, particularly regarding teaching quality and learning evaluations, is gaining attention, indicating a trend towards improving educational outcomes through technology.
Declining or Waning
- Traditional Decision-Making Frameworks:
There is a noticeable decline in the publication of articles utilizing traditional decision-making frameworks that do not incorporate advanced fuzzy or neutrosophic approaches, as the journal increasingly favors innovative methodologies. - Basic Machine Learning Techniques:
Basic or introductory machine learning techniques are appearing less frequently, as more complex and hybrid methodologies take precedence, indicating a shift toward advanced applications and integrations. - General Optimization Techniques:
Research centered on general optimization techniques without the integration of intelligent systems or advanced algorithms is becoming less common, suggesting a preference for more sophisticated approaches. - Non-application-focused Research:
The journal is moving away from purely theoretical discussions that lack practical applications, favoring studies that demonstrate clear applications of knowledge-based systems in real-world scenarios.
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