Forthcoming articles

International Journal of Decision Support Systems

International Journal of Decision Support Systems (IJDSS)

These 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 Articles will not be published until the final proofs are validated by their authors.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.

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

Open AccessArticles marked with this Open Access icon are freely available and openly accessible to all without any restriction except the ones stated in their respective CC licenses.
We also offer which provide timely updates of tables of contents, newly published articles and calls for papers.

International Journal of Decision Support Systems (3 papers in press)

Regular Issues

  • Crowd Model Building as a Collective Decision Support System   Order a copy of this article
    by Ali Haji Gholam Saryazdi, Ali Rajabzadeh Ghatari, Ali Naghi Mashayekhi, Alireza Hasanzadeh 
    Abstract: The system dynamics approach for modeling complex socioeconomic systems was originally developed in the 1950s. Using this approach, different researchers have designed a diversity of model building methods with specific characteristics depending on various data sources, conditions, objectives and applications. On the one hand, the expansion of system dynamics applications and related issues has caused the development of various model building methods necessary. On the other hand, information technology advances specifically web 2.0 and other social networks have led to the development of various model building methods with more capabilities. Thus, the main purpose of this paper is to introduce crowd model building method based on web 2.0 and social networks. To achieve this objective, first, various system dynamics modeling methods including Document model building (DMB), Individual model building (IMB), Group model building (GMB), Community model building (CoMB) and Crowd model building (CMB) were compared and contrasted through a systematic literature review. At this step, all the papers accepted at two preliminary rounds of research conference on system dynamics in 1976 and 1981 and 33 rounds of conference on system dynamics since 1983 until 2015 along with papers available on Elsevier and Wiley scientific database were reviewed. Finally, Crowd Model Building was fully explained.
    Keywords: Online/Web Surveys; Collective Decision Support System(CDSS); System Dynamics II (SD 2.0); Crowd Model Building (CMB).

  • An extended solution to recommend fuzzy MDX queries for decision makers by collaborative filtering profile   Order a copy of this article
    by Djamila Hammouche, Karim Atif 
    Abstract: Education decision makers need to analyse the success rate of the baccalaureate according to different criteria. In this paper, we propose to extend our previous solution where we have defined only three terms in natural language. Our extended solution consists of the modelling of a data warehouse according to the Fasel model. It allows the recommendation of MDX queries which contain these terms in natural language according to the decision makers profile. We present an overview of the work related to our subject and we present the fuzzy data model together with the meta tables and the modelling of the membership functions. Finally, we present our results. Furthermore, we have carried out a comparative study between the use of SQL and MDX requests and we have concluded that the use of MDX made the system more efficient.
    Keywords: decision support systems; data warehouse; MDX; profile; fuzzy logic; recommendation.
    DOI: 10.1504/IJDSS.2020.10032750
     
  • Decision support for biogas production from the utilisation of agricultural and livestock wastes   Order a copy of this article
    by Grigorios Rekleitis, Katherine-Joanne Haralambous 
    Abstract: The rapid growth of the global and national agriculture and livestock sector, has led to the development of large quantities of agricultural and animal wastes, resulting in massive problems associated with treatment and disposal into the atmosphere. Biogas installation technology from waste biomass is an effective solution with several significant advantages, providing environmentally sustainable energy while promoting the use of biogas energy and leading to a systematic and integrated treatment of agricultural and livestock wastes, reducing the pollution discharge to the environment by more than 55%. In this work, an analysis of production of biogas through the process of anaerobic digestion is shown, which is commonly used for the processing of agricultural and livestock residues and energy crops for use (energy production and compost). Some critical parameters of this process are summarised, as a tool for comparative evaluation of this route with some other alternatives, which contribute to the decision making in the selection of power systems.
    Keywords: biogas; agriculture; livestock; wastes; Greece; energy; renewable energy sources; RES; biomass; anaerobic; digestion.
    DOI: 10.1504/IJDSS.2020.10031926
     

 

Return to top