ICONIS 2025
Special Issues

Advances in Modelling and Analysis B.
Advances in Modelling and Analysis B (AMA_B) is a quarterly international journal.
This is an open access journal series, which means that all content is freely available without charge. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles in this journal without asking prior permission from the publisher or the author.
FOCUS AND SCOPE
Topics in AMA_B include signals, information, patterns, data acquisition, transmission, processing, classification, etc.
Modelling, Measurement and Control D
Modelling, Measurement and Control D (MMC_D) is a quarterly international journal.
This is an open access journal series, which means that all content is freely available without charge. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles in this journal without asking prior permission from the publisher or the author.
FOCUS AND SCOPE
Topics in MMC_D include production engineering and management, organization, economics, human and social problems, city and land use, transportation, etc.


Revista Inquietud Empresarial
La Revista Inquietud Empresarial es una revista revisada por pares que publica de manera continua investigaciones originales, artículos de revisión, de metodologías y estados del arte en el ambito empresarial relacionadas con estudios bibliometricos, educación en administración de empresas, modelos para la toma de decisiones, sustentabilidad, innovación y tecnología, comportamiento del consumidor y emprendimiento. Asimismo, promueve los trabajos que contribuyan en aspectos interdisciplinares, multidisciplinares y transdisciplinares en temas emergentes dentro del mundo de los negocios, la gestión y la administración de empresas. La revista proporciona ideas e investigaciones originales sobre temas de importancia para los investigadores, gestores, emprendedores, y los responsables políticos.
Soft Computing and Artificial Intelligence Techniques in Decision-Making, Management, and Engineering
Journal: Frontiers in Artificial IntelligenceIndexing: Scopus, Web of Science (ESCI), DOAJ, PubMed Central The Special Issue on Soft Computing and Artificial Intelligence Techniques in Decision-Making, Management, and Engineering aims to advance research at the intersection of computational intelligence and decision sciences, fostering innovative approaches to solving complex problems in dynamic and uncertain environments. Soft computing methodologies, including fuzzy logic, neural networks, evolutionary computation, and hybrid intelligent systems, have gained significant traction in fields requiring adaptive, flexible, and human-centric computational models. This special issue seeks to highlight the latest theoretical developments and practical implementations of these techniques in decision-making, managerial processes, and engineering applications. Topics of interest include (but are not limited to):
- Decision-Making Models: Multi-criteria decision analysis, uncertainty modeling, expert systems
- Management and Business Intelligence: Strategic planning, knowledge management, risk assessment
- Optimization and Heuristic Techniques: Metaheuristics, swarm intelligence, genetic algorithms
- Machine Learning for Decision Support: Deep learning, reinforcement learning, predictive analytics
- Fuzzy Logic and Approximate Reasoning: Fuzzy inference systems, type-2 fuzzy logic, linguistic decision models
- Engineering Applications: Intelligent control systems, smart manufacturing, industrial automation
- Human-Centered AI in Management: Explainable AI, ethical AI, cognitive decision support systems
This special issue invites high-quality contributions that bridge theoretical advancements with real-world applications, demonstrating the potential of soft computing and artificial intelligence in enhancing decision-making processes across disciplines. Original research articles, comprehensive surveys, and case studies that push the boundaries of intelligent computing in decision support, business, and engineering are particularly welcome.


Fuzzy Set Theory and Decision-Making in Business, Finance, and Engineering
Journal: MathematicsIndexing: Scopus, Web of Science (ESCI), DOAJ This Special Issue explores the application of fuzzy set theory and empirical mathematical models in decision-making across business, finance, and engineering. Fuzzy logic provides a robust framework for managing uncertainty, optimizing investment strategies, enhancing risk assessment, and improving engineering processes. Topics of interest include:
- Risk and Crisis Management in finance and business
- Investment Strategy Optimization and financial forecasting
- Economic Impact Analysis of market shocks and recessions
- Engineering Applications in design, automation, and smart systems
- Artificial Intelligence and Fuzzy Models for decision support
- Supply Chain Optimization and sustainability (ESG strategies)