Algorithms in Decision Support Systems Vol. 2
A special issue of Algorithms (ISSN 1999-4893).
Deadline for manuscript submissions: closed (1 June 2022) | Viewed by 25917
Special Issue Editor
Interests: web engineering; artificial Intelligence; recommendation systems; health informatics; modeling software with DSL and MDE
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear colleagues,
Currently, decision support systems (DSSs) are essential tools that provide information and support for decision making on possible problems that, due to their level of complexity, cannot be easily solved by humans. These systems allow the extraction and manipulation of information in a flexible way, allowing users to define what information they need and how to combine it. Due to their ability to analyze and process data, they are widely used in different fields, such as population health management, education, medical diagnosis, catastrophe avoidance, agriculture, sustainable development, sales projections, inventory organization, production design, etc. The basic components needed to define the architecture of a DSS are the (1) knowledge base or database required for the storage of structured or unstructured information; (2) user interface, essential for interactions between users and machines; (3) model, used to infer decisions; and (4) user, who normally uses the system and makes decisions. The models used by DSSs are usually based on different types of algorithms, such as neural networks, logistic regression, classification trees, fuzzy logic, etc.
As DSSs take on an increasingly central role in decision making in different scenarios, the need for researchers and developers to be able to refine and propose new algorithms to optimize the performance of these systems becomes more important, considering that these algorithms are usually adapted to the set of data available for a particular domain of knowledge. This Special Issue on “Algorithms in Decision Support Systems” provides a platform to exchange new ideas by researchers and practitioners in the field of decision support systems and its applications in many areas. We encourage authors across the world to submit their original and unpublished works. We have a special interest in works focusing on the topics listed below, but we are open to other works that fit the theme of the Special Issue.
Prof. Dr. Edward Rolando Núñez-Valdez
Guest Editor
Manuscript Submission Information
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. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short 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 thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Algorithms is an international peer-reviewed open access monthly 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 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- deep learning algorithms
- machine learning algorithms
- genetic algorithms
- evolutionary algorithms
- fuzzy logic
- probabilistic reasoning
- rule-based algorithms
- statistical methods
- atmospheric models
- data mining algorithms
- recommender systems algorithms
- explainable AI algorithms
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Related Special Issue
- Algorithms in Decision Support Systems in Algorithms (8 articles)