Forthcoming and Online First Articles

International Journal of Decision Support Systems

International Journal of Decision Support Systems (IJDSS)

Forthcoming articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

Forthcoming articles must be purchased for the purposes of research, teaching and private study only. These articles can be cited using the expression "in press". For example: Smith, J. (in press). Article Title. Journal Title.

Articles marked with this shopping trolley icon are available for purchase - click on the icon to send an email request to purchase.

Online First articles are published online here, before they appear in a journal issue. Online First articles are fully citeable, complete with a DOI. They can be cited, read, and downloaded. Online First articles are published as Open Access (OA) articles to make the latest research available as early as possible.

Open AccessArticles marked with this Open Access icon are Online First articles. They are freely available and openly accessible to all without any restriction except the ones stated in their respective CC licenses.

Register for our alerting service, which notifies you by email when new issues are published online.

We also offer which provide timely updates of tables of contents, newly published articles and calls for papers.

International Journal of Decision Support Systems (1 paper in press)

Regular Issues

  • Towards compliance-based inspection modelling   Order a copy of this article
    by Ana Calderon, Simon Parkinson 
    Abstract: We propose to move towards a risk-profiling approach to determine inspection strategies, with the aim of targeting audit of buildings that have a higher chance of being problematic. Historical data suggests that compliance of responsible persons (those in charge of ensuring fire safety at a particular dwelling) is an important factor in likelihood of danger, but it is presently overlooked in inspection models. With the goal of incorporating compliance in decisions of what and when to inspect, we construct game theoretic models for inspections, encompassing compliance likelihood of responsible persons. The (action-based) game theoretic representations serve to enable the construction of combinatorial optimisation algorithms (algorithms for finding the optimal solution to problems where exhaustive searches are an impossibility), capable of deliberative search to identify optimal sequences of inspections. This paper presents a case study on Compliance, some statistical findings, then followed by the conceptual game-theoretical modelling.
    Keywords: South Wales fire and rescue service; game theory; fire inspection; compliance-based inspections; compliance; automatic planning techniques; fire and rescue; fire regulations; decision-making; reducing fire risk.
    DOI: 10.1504/IJDSS.2021.10043274
     

 

Return to top