Forthcoming and Online First Articles

International Journal of Decision Support Systems

International Journal of Decision Support Systems (IJDSS)

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International Journal of Decision Support Systems (6 papers in press)

Regular Issues

  • Decision support system applications (1980-2022). Classification and statistical analysis   Order a copy of this article
    by Panagiotis I. Mallios, Nikolaos F. Matsatsinis 
    Abstract: The main goal of decision support system applications (DSS), is to aid decision makers by collecting data and information into their structured environment, in order t take an optimal decision. They are developed to accomplish several tasks, that is, organise the overflow of data, knowledge and information, provide support to decision makers and illustrate their judgment and preferences. The purpose of the current survey is the categorisation and classification of DSS applications according to specific criteria and finally their statistical analysis according to special characteristics that may have. This paper provides a review of DSS applications over the period (January 1980-June 2022). Seven hundred and sixty published applications are identified.
    Keywords: decision support systems; DSS; survey; classification; statistical analysis.
    DOI: 10.1504/IJDSS.2024.10061753
     
  • 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
     
  • A systematic approach to problem formulation in a decision support system   Order a copy of this article
    by Christian Hannes, Rüdiger Von Nitzsch 
    Abstract: Formulating a decision statement is the foundation for systematically solving a decision. In ill-defined decisions, formulating is particularly difficult. Therefore, a decision analyst helps with formulating the problem. Some decision-makers may not afford a decision analyst but need help formulating. We designed a decision support system (DSS) that systemises problem structuring methods (PSMs) to support problem formulation. These PSMs were combined with multi-attributive utility theory (MAUT) in the DSS Entscheidungsnavi. Helping to formulate a decision statement means helping to improve understanding of the decision. Therefore, we measure how the DSS helped to enhance the decision-makers' understanding. We employ the criteria of right scope, preciseness of the decision statement, and users' written feedback. We used the Entscheidungsnavi in an empirical study with 850 students. It helped in 87% of all cases. In 552 cases, the subjects improved their decision statement, and 190 participants did not change their decision statement but wrote that their understanding improved.
    Keywords: problem formulation; decision support systems; DSS; problem structuring; problem structuring methods; PSM; Entscheidungsnavi.
    DOI: 10.1504/IJDSS.2022.10048111
     
  • Towards a multi-criteria decision support system for heating and cooling equipment selection in residential buildings   Order a copy of this article
    by Efstathios Gerampinis, George Arampatzis, Fotini Kalafati, Nikolaos F. Matsatsinis 
    Abstract: The selection of heating and cooling equipment in residential buildings is of paramount importance, necessitating a comprehensive and intricate approach. Until now, the selection process has primarily focused on specific criteria, neglecting other crucial factors. This paper presents a developed methodology that addresses this issue by incorporating a multi-criteria decision-making approach. By considering factors such as cost, energy efficiency, and environmental impact, the decision-making process becomes more efficient and manageable. Moreover, the proposed multi-criteria methodology considers the unique needs and preferences of each resident, in addition to technical characteristics. This personalised approach ensures that the selected equipment not only meets the heating and cooling requirements but also aligns with the user's specific preferences. Overall, this systematic and objective methodology offers a comprehensive framework for selecting heating and cooling equipment, enabling well-informed decisions tailored to individual needs.
    Keywords: decision support system; multi-criteria analysis; heat transfer; energy; thermal response of buildings; recommendation systems.
    DOI: 10.1504/IJDSS.2023.10059872
     
  • Economic-innovation efficiency in EU countries: a multi-perception DEA approach   Order a copy of this article
    by Georgios Tsaples, Anastasia Blouchoutzi, Jelena J. Stanković, Ivana Marjanović, Milan Marković 
    Abstract: The extended literature on the efficiency of the innovation sector is indicative of the value the academic community as well as policymakers attribute to R&D for promoting economic growth. However, there is a literature gap as regards potential co-relations between the aforementioned parameters. This paper aims at developing a combined indicator with the use of data envelopment analysis (DEA) and measuring it with different methodological approaches to overcome the limitations already identified in the relevant literature. The DEA results provide evidence that the EU countries are generally poor performers when combining economic performance with knowledge capacity. This paper offers a foundation for further investments in the sector of innovation and future research on developing and utilising more representative indicators that could capture the dynamics of the complicated relationship between economic performance and innovation capacity.
    Keywords: economic-innovation efficiency; data envelopment analysis; DEA; exploratory modelling and analysis; EMA.
    DOI: 10.1504/IJDSS.2023.10055573
     
  • A rank aggregating method based on several multi-criteria methodologies 'minimum of ranks': a case study for student's room allocation   Order a copy of this article
    by Rôlin Gabriel Rasoanaivo, Pascale Zaraté 
    Abstract: We used the multi-criteria decision-making methods like 'analytic hierarchy process' (AHP), 'weighted sum method' (WSM), 'technique for order preference by similarity to the ideal solution' (TOPSIS) and 'combined compromise solution' (CoCoSo) to solve the student's accommodation allocation problem. The students rank from each method is different. We checked the similarity of those ranks by applying the rank correlation coefficients tests such as Spearman's and Kendall's coefficient. As the correlation was proven, we retrieved these ranks and reordered the students to obtain a compromised ranking through an aggregating decision-making method that we called the 'minimum of ranks' (MIRA). To validate this method, we also checked the similarity of the ranks which has just been obtained compared to those of the WSM, TOPSIS and CoCoSo methods. Finally, a decision support system (DSS) based on the AHP, WSM, TOPSIS, CoCoSo and MIRA methods was developed to solve the problem of student's room allocation.
    Keywords: student's room allocation; decision support system; DSS; analytic hierarchy process; AHP; weighted sum method; WSM; technique for order preference by similarity to the ideal solution; TOPSIS; combined compromise solution; CoCoSo; rank correlation coefficients; minimum of ranks; MIRA.
    DOI: 10.1504/IJDSS.2024.10062705