The International Journal of Hybrid Intelligent Systems (IJHIS)

**  Published by IOS Press, The Netherlands    **

IJHIS Editors

Honorary Editor

Stephen Grossberg, Boston University, USA  

 

Editors-in-Chief

Ajith Abraham

Machine Intelligence Research Labs (MIR Labs)
Scientific Network for Innovation and Research Excellence
P.O. Box 2259
Auburn, Washington 98071, USA
ajith.abraham@ieee.org


Founding Editors

Ajith Abraham, MIR Labs, USA
Lakhmi Jain, University of South Australia, Australia
Vasile Palade, Oxford University, UK

 


Associate Editors

Gail A. Carpenter, Boston University, USA

Walter D. Potter, University of Georgia, USA

Ishwar K. Sethi, Oakland University, USA

Ron Sun, Rensselaer Polytechnic Institute, USA

Toshio Fukuda, Nagoya University, Japan
Mario Koeppen, Kyushu Institute of Technology, Japan    

Tamas Gedeon, Australian National University, Australia

Nikola Kasabov, Auckland University of Technology, New Zealand

Kate Smith, Monash University, Australia

Robert J. Howlett, University of Brighton, UK
Janusz Kacprzyk,  Polish Academy of Sciences, Poland

Stefan Wermter, University of Hamburg, Germany

Xin Yao, University of Birmingham, UK

Industrial Theme/Track Editor

Antony Satyadas, IBM Corporation, Cambridge, USA

Book Review Editor

Clarence W. de Silva, University of British Columbia, Canada


Editorial Board

B. Apolloni, University of Milano, Italy
I. Cloete, International University in Germany, Germany

S.B. Cho, Yonsei University, Korea

D. Corne, University of Exeter, UK
S. Franklin, University of Memphis, USA

A. D'Avila Garcez, City University London, UK

B. Gabrys, University of Bournemouth, UK
J. Grzymala-Busse, University of Kansas, USA
C. Ghaoui, Liverpool John Moores University, UK
R. F. Harrison, University of Sheffield, UK

J.Q. Gan, University of Essex, UK
F. Herrera, University of Granada, Spain

I. Hatzilygeroudis, University of Patras, Greece 
H. Ishibuchi, Osaka Prefecture University, Japan
Y. Ishida, Toyohashi University of Technology, Japan
M. Karny, Acad. of Sciences of Czech Rep., Czech Republic
A. Kelemen, University of Buffalo, USA
A. Koenig, University of Kaiserslautern, Germany
V. Loia, University of Salerno, Italy
V. Maojo, Polytechnical University of Madrid, Spain

D. Neagu, University of Bradford, UK

M. Negoita, Wellington Institute of Technology, New Zealand
G. Palm, University of Ulm, Germany
J.S. Pan, National Kaohsiung Uni. of Applied Sciences, Taiwan
N.R. Pal, Indian Statistical Institute, India
N.Petkov, University of Groningen, The Netherlands
V. Piuri, University of Milan, Italy
W. Pedrycz, University of Alberta, Canada
G. Ruhe, University of Calgary, Canada

G. Resconi, Catholic University, Brescia, Italy

R. Roy, Cranfield University, UK

K.M. Sim, Institute of Information Sci., Academia Sinica, Taiwan
M. R. Stytz, Air Force Research Laboratory, USA
H. Takagi, Kyushu University, Japan
G. Tecuci, George Mason University, USA

B. Verma, Central Queensland University, Australia
A. Wani, California State University at Bakersfield, USA

R. Weber, University of Chile, Chile
B.M. Wilamowski, Auburn University, USA
N. Xiong, Mälardalen University, Sweden

R.R. Yager, Iona College, USA
K. Yoshida, Kyushu Institute of Technology, Japan


Review Board Members

 


 

ISSN 1448-5869


Journal archive

Contact IJHIS editorial@iospress.nl

 

How To Order

 

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

Submitted papers must be in English and should not have been published elsewhere or being currently under consideration by any other journal. Authors should submit the electronic version of their papers in postscript or PDF formats using the web based submission system given in the following link:
https://www.easychair.org/conferences/?conf=ijhis12

Please follow the guidelines provided in the submission Web site. Authors should submit hard copies of the manuscript (original and four copies) to any one of the Editors-in-Chief in case an email submission is not possible. Detailed instructions for preparation of manuscripts are available in the following link: http://www.iospress.nl/journal/international-journal-of-hybrid-intelligent-systems/?tab=submission-of-manuscripts

Please direct all your technical queries to <ajith.abraham@ieee.org>


 

Abstracted/Indexed in
CompuScience, Computer & Communications Security Abstracts database, SCOPUS, ACM Computing Reviews, Zentralblatt MATH, ACM Guide to Computing Literature, DBLP, COMPENDEX PLUS, Computer Abstracts, EBSCO's database.

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