Aim and Scope

Hybridization of intelligent systems is a promising research field of modern artificial intelligence concerned with the development of the next generation of intelligent systems. A fundamental stimulus to the investigations of Hybrid Intelligent Systems (HIS) is the awareness in the academic communities that combined and integrated approaches will be necessary if the remaining tough problems in artificial intelligence are to be solved. Recently, hybrid intelligent systems are becoming popular due to their capabilities in handling many real world complex problems, involving imprecision, uncertainty and vagueness, high-dimensionality.

The International Journal of Hybrid Intelligent Systems (IJHIS) is a peer refereed journal on the theory and applications of hybrid and integrated intelligent systems. The key objective of IJHIS is to provide the academic community with a medium for presenting original research and applications related to the simultaneous use of two or more intelligent techniques. Rather than publishing papers in one particular area of expertise, the journal aims to be the main forum for publishing papers that involve the use of two or more intelligent techniques and approaches, such as neural networks, traditional knowledge-based methods, fuzzy techniques, genetic algorithms, agent-based techniques, case based reasoning etc. The combination or integration of more distinct methodologies can be done in any form, either by a modular integration of two or more intelligent methodologies, which maintains the identity of each methodology, or by fusing one methodology into another, or by transforming the knowledge representation in one methodology into another form of representation characteristic to another methodology.  

The IJHIS invites authors to submit their original and unpublished work that communicates current research on hybrid and integrated intelligent systems, regarding both the theoretical and methodological aspects, as well as various applications of hybrid and integrated intelligent approaches to many real world problems from science, technology, business or commerce.

Journal Topics

Topics of interest include but not limited to:  

• Integrations of Neural Networks with Expert Systems
• Integration of different learning paradigms (supervised/unsupervised/reinforcement etc.)
• Integrations of Neural Networks with Fuzzy Systems
• Integrations of  Neural Networks with Global Optimization Algorithms
• Knowledge-Based Neural Networks
• Fuzzy Logic and Expert Systems
• Integration of  Fuzzy Systems with Global Optimization Algorithms 
• Hybrid Optimization Techniques (global, local search techniques etc.)
• Hybrid Systems using Neural Networks - Evolutionary Algorithms – Fuzzy Systems
• Intelligent Agents Based Integrations, Hybrid Multi-Agent Systems
• Incorporating Intelligent Techniques with Web and Internet Technologies
• Integration of Intelligent/Computational Techniques with Information Systems for Data Mining, Knowledge Management, Decision Support
• Hybridization of Soft Computing with other Machine Learning Techniques: Support Vector Machines, Rough Sets, Bayesian Networks, Probabilistic Reasoning, Statistical Learning
• Hybrid models using Case-Based Reasoning, Inductive Logic Programming, Grammatical Inference

Hybrid Intelligent Systems Applications

• Image and Signal Processing
• Control and Automation
• Industrial and Medical Diagnosis
• Bioinformatics
• Data Mining
• Business Information Systems, E-commerce
• E-learning, Intelligent Tutoring Systems
• Internet Modeling, Communication and Networking, Web Mining
• Decision Support Systems
• Knowledge Management
• Information Retrieval and Text Mining
• Speech and Natural Language Processing
• Virtual Reality and Multimedia

Guidelines for Contributors