Intelligent Decision Technologies

An International Journal

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10; 4 issues
Last issue (10:3) online on 21 June 2016
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10:4 scheduled for September 2016
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Artificial Intelligence, Computer & Communication Sciences, Computer Science
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A refereed international scholarly journal, Intelligent Decision Technologies (IDT) welcomes original research contributions on the fundamental concepts and applications of intelligent systems that support decision making. Manuscripts are published on such diverse areas as artificial intelligence, fuzzy techniques, genetic algorithms, intelligent agents, multi-agent systems, cognitive science, mathematical modeling, neural systems/neural networks, computer-supported cooperative work, geographic information systems, user interface management systems, informatics, knowledge representation, applications of intelligent systems and others.

The field of intelligent decision technologies is interdisciplinary in nature, bridging computer science with its development of artificial intelligence, information systems with its development of decision support systems, and engineering with its development of systems. IDT seeks to attract research that is focused on applied technology while exploring its development at a fundamental level. IDT seeks an interchange of research on intelligent systems and intelligent technologies which enhance or improve decision-making in industry, government and academia. IDT publishes research on all aspects of intelligent decision technologies, from fundamental development to the applied system. The journal is concerned with theory, design, development, implementation, testing and evaluation of intelligent decision systems that have the potential to support decision making in the areas of management, international business, finance, accounting, marketing, healthcare, military applications, production, networks, traffic management, crisis response, human interfaces and other applied fields.

The target audience is researchers in computer science, business, commerce, health science, management, engineering and information systems that develop and apply intelligent decision technologies. Authors are invited to submit original unpublished work that is not under consideration for publication elsewhere.

Prof. Dr. Gloria Phillips-Wren
Information Systems and Operations Management
The Sellinger School of Business and Management
Loyola University Maryland
4501 North Charles Street
Baltimore, MD 21210

Dr. Lakhmi C. Jain
Adjunct Professor
Faculty of Education, Science, Technology and Mathematics
University of Canberra
ACT 2601


Visiting Professor
Data Science Institute
Faculty of Science and Technology
Bournemouth University
Poole House
Talbot Campus, Fern Barrow
Poole, BH12 5BB

Prof. Junzo Watada     
Graduate School of Information, Production & Systems
Waseda University     
2-7 Hibikino, Wakamatsu
Kita-Kyushu 808-0135

Honorary Editor
Dr. Robert Howlett
KES International
United Kingdom

Associate Editors
Prof. Valentina Emilia Balas
Department of Automation and Applied Informatics
Faculty of Engineering
"Aurel Vlaicu" University of Arad

Prof. Dr. Sheryl Brahnam
Computer Information Systems
Missouri State University

Prof. Dr. Anna Esposito
Second University of Naples

Prof. Margarita Favorskaya
Institute of Informatics and Telecommunications
Siberian State Aerospace University

Prof. Dr. Manuel Graña
Faculty of Informatics
University of the Basque Country

Prof. Dr. Mirjana Ivanovic
Faculty of Science
Department of Mathematics and Informatics
Chair of Computer Science
University of Novi Sad

Dr. Chee Peng Lim
Centre for Intelligent Systems Research
Deakin University
Geelong Waurn Ponds Campus

Prof. Dr. Manuel Mora
Information Systems Department
Autonomous University of Aguascalientes

Prof. Dr. Carlo Francesco Morabito
Department of Mechanics and Materials
Mediterranea University of Reggio Calabria

Prof. Dr. Kazumi Nakamatsu
School of Human Science and Environment
University of Hyogo

Prof. Dr Milan Simic
Aerospace, Mechanical and Manufacturing Engineering
Bundoora Campus, RMIT University

Advisory Board

Prof. Dr. Animesh Adhikari
Department of Computer Science
Parvatibai Chowgule College

Prof. Bruno Apolloni
Department of Informatics
University of Milan

Prof. Dr. William Chu
Department of Computer Science and Information Engineering
Tunghai University

Prof. Philippe De Wilde
School of Mathematical and Computer Sciences
Heriot Watt University

Prof. Dr. Roumen Kountchev
Department of Radio Communications and Video Technologies
Technical University of Sofia

Prof. Ignac Lovrek, Ph.D.
Faculty of Electrical Engineering and Computing
University of Zagreb

Prof. Ivan Luković
Faculty of Technical Sciences
Computing and Control Department
Chair for Applied Computer Science
University of Novi Sad

Prof. Dr. Vasile Palade
Faculty of Engineering and Computing
Coventry University

Prof. James F. Peters
Computational Intelligence Laboratory, ECE Department
University of Manitoba

Prof. Dharmendra Sharma
Faculty of Education, Science, Technology & Mathematics
University of Canberra

Prof. Barry G. Silverman
Professor of Systems Science and Engineering
Hayden Hall (Room 120)
University of Pennsylvania

Prof. Gheorghe Tecuci
Learning Agents Center
The Volgenau School of Engineering
George Mason University

Prof. George A. Tsihrintzis

Department of Informatics

University of Piraeus



Prof. Dr. Eiji Uchino
Mathematics and Complex Systems Science
Graduate School of Science and Engineering
Yamaguchi University

Prof. Maria Virvou
Department of Informatics
University of Piraeus

Prof. Hiro Yoshida
Department of Radiology
Massachusetts General Hospital
Harvard Medical School

Editorial Board
Jair M. Abe
University of São Paulo

Canicious Abeynayake
Defence Science and Technology Organisation

Fred Adam 
University College Cork

Bala M. Balachandran
University of Canberra

Marius M. Balas
"Aurel Vlaicu" University of Arad

Monica Bianchini 
University of Siena

Isabelle Bichindaritz
SUNY Oswego

Gloria Bordogna

Ana Rita Campos 

Barbara Catania
University of Genoa

Mihaela Costin
Institute of Computer Science Iasi Romanian Academy

Ireneusz Czarnowski
Gdynia Maritime University

Anna Esposito
Second University of Naples

Arthur Filippidis

Maria Ganzha
University of Gdańsk

Petia Georgieva
Informatics University of Aveiro

Anne Håkansson
KTH Royal Institute of Technology

Alex Hariz
University of South Australia


Arturas Kaklauskas
Vilnius Gediminas Technical University

Anastasia N. Kastania
Athens University of Economics and Business

Boris Kovalerchuk
Central Washington University

Rosa Meo
University of Turin

Lyudmila Mihaylova
University of Sheffield

Stefania Montani
University of Eastern Piedmont

Manuel Mora
Autonomous University of Aguascalientes

Kazumi Nakamatsu
University of Hyogo

Zorica Nedic
University of South Australia 

Viorel Nicolau
Dunarea de Jos University of Galati

Maria do Carmo Nicoletti
UFSCar (Federal University of São Carlos)

Vasile Palade
University of Oxford

Gabriella Pasi
University of Milan-Bicocca

Nilesh Patel 
Oakland University

Camelia Pintea
Technical University of Cluj-Napoca

Jens Pohl
California Polytechnic State University

Nicolaie Popescu-Bodorin
Lumina University

Dan Power
University of Northern Iowa

Lucian Prodan
Polytechnic University of Timisoara

Gabriela Prostean
Polytechnic University of Timisoara

Roy Rada
University of Maryland Baltimore

Ana Respício
University of Lisbon

Christos Sioutis
Defence Science and Technology Organisation

Urszula Stańczyk
Silesian University of Technology

Jeff Tweedale
Defence Science and Technology Organisation

Snejana Yordanova
Technical University of Sofia

Pascale Zaraté
University of Tolouse


Authors are requested to submit their manuscript electronically through the online submission system.

Contact one of the Editors-in-Chief if you need help.

Prof. Dr. Gloria Phillips-Wren

Prof. Dr. Lakhmi C. Jain

Prof. Junzo Watada

Required files for final submissions
After the article has been accepted, the authors should submit the final version as source files, including a word processor file of the text, such as Word or LateX (If using LaTeX, please use the standard article.sty as a style file and also send a PDF version of the LaTeX file).

Colour figures
It is possible to have figures printed in colour, provided the cost of their reproduction is paid for by the author. See Preparation of Manuscripts for the required file formats.

Open Access option
The IOS Press Open Library® offers authors an Open Access (OA) option. By selecting the OA option, the article will be freely available from the moment it is published, also in the pre-press module. In the Open Library® the article processing charges are paid in the form of an Open Access Fee. Authors will receive an Open Access Order Form upon acceptance of their article. Open Access is entirely optional.
See also our website for more information about this option IOS Press Open Library®


Organization of the paper and style of presentation
Manuscripts must be written in English. Authors whose native language is not English are advised to seek the advice of a native English speaker, before submitting their manuscripts.

Peerwith offers a language and copyediting service to all scientists who want to publish their manuscript in scientific peer-reviewed periodicals and books.

Manuscripts should be prepared with wide margins and double spacing throughout, including the abstract, footnotes and references. Every page of the manuscript, including the title page, references, tables, etc., should be numbered. However, in the text no reference should be made to page numbers; if necessary, one may refer to sections. Try to avoid the excessive use of italics and bold face.

Manuscripts should be organized in the following order:

  • Title page
  • Body of text (divided by subheadings)
  • Acknowledgements
  • References
  • Tables
  • Figure captions
  • Figures
  • Headings and subheadings should be numbered and typed on a separate line, without indentation.

    SI units should be used, i.e., the units based on the metre, kilogramme, second, etc.

    Title page
    The title page should provide the following information:

  • Title (should be clear, descriptive and not too long)
  • Name(s) of author(s); please indicate who is the corresponding author
  • Full affiliation(s)
  • Present address of author(s), if different from affiliation
  • Complete address of corresponding author, including tel. no., fax no. and e-mail address
  • Abstract; should be clear, descriptive, self-explanatory and not longer than 200 words, it should also be suitable for publication in abstracting services
  • Keywords
  • Tables
    Number as Table 1, Table 2 etc, and refer to all of them in the text.

    Each table should be provided on a separate page of the manuscript. Tables should not be included in the text.

    Each table should have a brief and self-explanatory title.

    Column headings should be brief, but sufficiently explanatory. Standard abbreviations of units of measurement should be added between parentheses.

    Vertical lines should not be used to separate columns. Leave some extra space between the columns instead.

    Any explanations essential to the understanding of the table should be given in footnotes at the bottom of the table.



    Place citations as numbers in square brackets in the text. All publications cited in the text should be presented in an alphabetical list of references at the end of the manuscript in the following style:

    [1] B. Newman and E.T. Liu, Perspective on BRCA1, Breast Disease 10 (1998), 3-10.
    [2] D.F. Pilkey, Happy conservation laws, in: Neural Stresses, J. Frost, ed., Controlled Press, Georgia, 1995, pp. 332-391.
    [3] E. Wilson, Active vibration analysis of thin-walled beams, Ph.D. Dissertation, University of Virginia, 1991.

    Footnotes should only be used if absolutely essential. In most cases it is possible to incorporate the information in the text.

    • If used, they should be numbered in the text, indicated by superscript numbers and kept as short as possible.


    Number figures as Fig. 1, Fig. 2, etc and refer to all of them in the text.

    Each figure should be provided on a separate sheet. Figures should not be included in the text.

    Colour figures can be included, provided the cost of their reproduction is paid for by the author.

    For the file formats of the figures please take the following into account:

  • Line art should be have a minimum resolution of 600 dpi, save as EPS or TIFF
  • Grayscales (incl photos) should have a minimum resolution of 300 dpi (no lettering), or 500 dpi (when there is lettering); save as tiff
  • Do not save figures as JPEG, this format may lose information in the process
  • Do not use figures taken from the Internet, the resolution will be too low for printing
  • Do not use colour in your figures if they are to be printed in black & white, as this will reduce the print quality (note that in software often the default is colour, you should change the settings)
  • For figures that should be printed in colour, please send a CMYK encoded EPS or TIFF
  • Figures should be designed with the format of the page of the journal in mind. They should be of such a size as to allow a reduction of 50%.

    On maps and other figures where a scale is needed, use bar scales rather than numerical ones, i.e., do not use scales of the type 1:10,000. This avoids problems if the figures need to be reduced.

    Each figure should have a self-explanatory caption. The captions to all figures should be typed on a separate sheet of the manuscript.

    Photographs are only acceptable if they have good contrast and intensity.


    Copyright of your article
    Authors submitting a manuscript do so on the understanding that they have read and agreed to the terms of the IOS Press Author Copyright Agreement.

    Quoting from other publications
    An author, when quoting from someone else's work or when considering reproducing figures or table from a book or journal article, should make sure that he is not infringing a copyright. Although in general an author may quote from other published works, he should obtain permission from the holder of the copyright if he wishes to make substantial extracts or to reproduce tables, plates or other figures. If the copyright holder is not the author of the quoted or reproduced material, it is recommended that the permission of the author should also be sought. Material in unpublished letters and manuscripts is also protected and must not be published unless permission has been obtained. Submission of a paper will be interpreted as a statement that the author has obtained all the necessary permission. A suitable acknowledgement of any borrowed material must always be made.



    The corresponding author will receive a PDF proof and is asked to check this proof carefully (the publisher will execute a cursory check only). Corrections other than printer's errors, however, should be avoided. Costs arising from such corrections will be charged to the authors.



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    Visual alerts shown to evoke quicker reactions than alerts through other senses

    27 Feb 2012 -

    New research has shown that visual alerting methods are still considered to be the most trustworthy, as compared to auditory or tactile alerts. This is shown by research conducted by a team of scientists at Old Dominion University in Norfolk, VA, USA.

    The research Alert Characteristics and Identification of Avatars on a Virtual Battlefield by James P. Bliss, Rachel Liebman and J. Christopher Brill is published in the current issue (6:2) of the journal Intelligent Decision Technologies.

    Most research to date has been limited to the visual or auditory signal modality. The question of how signal reliability interacts with signal modality to impact reaction behaviors is important with regard to applied environments such as the military battlefield.

    In the study, thirty undergraduate students completed two sessions of a virtual reconnaissance mission. During each session, they received ten alerts about nearly opposing forces. They indicated trust or distrust of each alert, and subsequently identified the avatar as friend or foe. Results indicated that participants trusted more historically reliable alerts, and that they showed quicker identification behaviour for visually presented alerts.


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