Special Issue "Axioms of Decision Support System"
A special issue of Axioms (ISSN 2075-1680).
Deadline for manuscript submissions: closed (15 November 2013)
Prof. Dr. Faith-Michael E Uzoka
Department of Computer Science & Information Systems, Mount Royal University, 4825 Mount Royal Gate SW, Calgary, Alberta T3E 6K6, Canada T3E 6K6
Interests: evaluation systems; organizational computing and impacts; medical Informatics; and technology adoption and innovation
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are refereed through a peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Axioms is an international peer-reviewed Open Access quarterly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 300 CHF (Swiss Francs). English correction and/or formatting fees of 250 CHF (Swiss Francs) will be charged in certain cases for those articles accepted for publication that require extensive additional formatting and/or English corrections.
- decision support systems
- executive information systems
- expert systems for decision making
- knowledge based systems
- unsolved problems and future trends in decision support
- concepts and operational basis for decision support systems
- integration, platform, and implementation issues
- decision support theories and techniques
- evaluation and organizational impact of decision support systems