Published: Jan 1, 2019
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DOI: 10.4018/IJDSST.20190101.pre
Volume 11
Nikolaos Ploskas, Pavlos Delias, Isabelle Linden
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MLA
Ploskas, Nikolaos, et al. "Special Issue on Decision Support System Technology (ICDSST 2017)." IJDSST vol.11, no.1 2019: pp.5-6. http://doi.org/10.4018/IJDSST.20190101.pre
APA
Ploskas, N., Delias, P., & Linden, I. (2019). Special Issue on Decision Support System Technology (ICDSST 2017). International Journal of Decision Support System Technology (IJDSST), 11(1), 5-6. http://doi.org/10.4018/IJDSST.20190101.pre
Chicago
Ploskas, Nikolaos, Pavlos Delias, and Isabelle Linden. "Special Issue on Decision Support System Technology (ICDSST 2017)," International Journal of Decision Support System Technology (IJDSST) 11, no.1: 5-6. http://doi.org/10.4018/IJDSST.20190101.pre
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Published: Jan 1, 2019
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DOI: 10.4018/IJDSST.2019010101
Volume 11
Alberto Turón, Juan Aguarón, María Teresa Escobar, José María Moreno-Jiménez
The Precise Consistency Consensus Matrix (PCCM) is a decisional tool for AHP-Group Decision Making (AHP-GDM). Based on the initial pairwise comparison matrices of the individuals, the PCCM...
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The Precise Consistency Consensus Matrix (PCCM) is a decisional tool for AHP-Group Decision Making (AHP-GDM). Based on the initial pairwise comparison matrices of the individuals, the PCCM constructs a consensus matrix for the group using the concept of consistency. This paper presents a decision support system (PRIOR-PCCM) that facilitates the construction of the PCCM in the context of AHP-GDM, and the calculus of four indicators that allows comparison of the behaviour of group consensus matrices. PRIOR-PCCM incorporates the possibility of considering different weights for the decision makers and includes a module that permits the extension of the initial PCCM which can achieve the minimum number of non-null entries required for deriving priorities or establishing a complete PCCM matrix. It also includes two cardinal indicators for measuring consistency and compatibility and two ordinal indicators for evaluating the number of violations of consistency and priority. The paper introduces some new visualisation tools that improve comprehension of the process followed for obtaining the PCCM matrix and allow the cognitive exploitation of the results. These original contributions are illustrated with a case study.
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Turón, Alberto, et al. "A Decision Support System and Visualisation Tools for AHP-GDM." IJDSST vol.11, no.1 2019: pp.1-19. http://doi.org/10.4018/IJDSST.2019010101
APA
Turón, A., Aguarón, J., Escobar, M. T., & Moreno-Jiménez, J. M. (2019). A Decision Support System and Visualisation Tools for AHP-GDM. International Journal of Decision Support System Technology (IJDSST), 11(1), 1-19. http://doi.org/10.4018/IJDSST.2019010101
Chicago
Turón, Alberto, et al. "A Decision Support System and Visualisation Tools for AHP-GDM," International Journal of Decision Support System Technology (IJDSST) 11, no.1: 1-19. http://doi.org/10.4018/IJDSST.2019010101
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Published: Jan 1, 2019
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DOI: 10.4018/IJDSST.2019010102
Volume 11
Carolina Lino Martins, Adiel Teixeira de Almeida, Danielle Costa Morais
This study aims to demonstrate how the design of a decision support system (DSS) can improve the process of internal resource allocation in Brazil public universities. Currently, there are not any...
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This study aims to demonstrate how the design of a decision support system (DSS) can improve the process of internal resource allocation in Brazil public universities. Currently, there are not any kind of general DSS for such a problem. To do so, the analysis is carried out by identifying the general model from the Brazilian Ministry of Education and the models from every federal university, finding similarities between each model, and dividing the models into categories, according to their similarities. Thus, a DSS resource allocation model prototype was proposed. The perspectives are to contribute to the decision problem of how to allocate resources properly faced by Brazilians public universities, take safer and reliable decisions, seeking to reduce uncertainties and to maximize their results.
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Martins, Carolina Lino, et al. "Design of a Decision Support System for Resource Allocation in Brazil Public Universities." IJDSST vol.11, no.1 2019: pp.20-34. http://doi.org/10.4018/IJDSST.2019010102
APA
Martins, C. L., Teixeira de Almeida, A., & Morais, D. C. (2019). Design of a Decision Support System for Resource Allocation in Brazil Public Universities. International Journal of Decision Support System Technology (IJDSST), 11(1), 20-34. http://doi.org/10.4018/IJDSST.2019010102
Chicago
Martins, Carolina Lino, Adiel Teixeira de Almeida, and Danielle Costa Morais. "Design of a Decision Support System for Resource Allocation in Brazil Public Universities," International Journal of Decision Support System Technology (IJDSST) 11, no.1: 20-34. http://doi.org/10.4018/IJDSST.2019010102
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Published: Jan 1, 2019
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DOI: 10.4018/IJDSST.2019010103
Volume 11
Guiwu Wei
In this article, the authors investigate the multiple attribute decision making problems with picture 2-tuple linguistic information. The utilized power average and power geometric operations used...
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In this article, the authors investigate the multiple attribute decision making problems with picture 2-tuple linguistic information. The utilized power average and power geometric operations used to develop some picture 2-tuple linguistic power aggregation operators: picture 2-tuple linguistic power weighted average (P2TLPWA) operator, picture 2-tuple linguistic power weighted geometric (P2TLPWG) operator, picture 2-tuple linguistic power ordered weighted average (P2TLPOWA) operator, picture 2-tuple linguistic power ordered weighted geometric (P2TLPOWG) operator, picture 2-tuple linguistic power hybrid average (P2TLPHA) operator and picture 2-tuple linguistic power hybrid geometric (P2TLPHG) operator. The prominent characteristic of these proposed operators is studied. This article has utilized these operators to develop some approaches to solve the picture 2-tuple linguistic multiple attribute decision making problems. Finally, a practical example for enterprise resource planning (ERP) system selection is given to verify the developed approach and to demonstrate its practicality and effectiveness.
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DOI: 10.4018/IJDSST.2019010104
Volume 11
Karim Zarour, Djamel Benmerzoug
The business process outsourcing (BPO) remains among the most adopted strategies by organizations to cope with the harsh competition of today's market. This practice has been intensified with the...
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The business process outsourcing (BPO) remains among the most adopted strategies by organizations to cope with the harsh competition of today's market. This practice has been intensified with the advent of the Cloud computing that has attracted companies by its new way of consuming and paying for resources. Nevertheless, the exposure of business processes (BPs) to Cloud-related threats and non-compliance risks as well as the diversity of Cloud offers in terms of price and quality are ones of the biggest obstacles in BPO to the Cloud. The organizations should therefore examine different factors to determine which BP parts to outsource and to assign them the most suitable Cloud offers. This article proposes a decision-making support called DMS4BPO that helps organizations in outsourcing their BPs to the Cloud by considering security, compliance, cost and performance criteria. DMS4BPO includes on the one hand an AHP-based method for the Cloud offer selection, and on the other hand, a Business Intelligence-based method for the exploitation of the execution history.
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Zarour, Karim, and Djamel Benmerzoug. "A Decision-Making Support for Business Process Outsourcing to a Multi-Cloud Environment." IJDSST vol.11, no.1 2019: pp.66-92. http://doi.org/10.4018/IJDSST.2019010104
APA
Zarour, K. & Benmerzoug, D. (2019). A Decision-Making Support for Business Process Outsourcing to a Multi-Cloud Environment. International Journal of Decision Support System Technology (IJDSST), 11(1), 66-92. http://doi.org/10.4018/IJDSST.2019010104
Chicago
Zarour, Karim, and Djamel Benmerzoug. "A Decision-Making Support for Business Process Outsourcing to a Multi-Cloud Environment," International Journal of Decision Support System Technology (IJDSST) 11, no.1: 66-92. http://doi.org/10.4018/IJDSST.2019010104
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Published: Jan 1, 2019
Converted to Gold OA:
DOI: 10.4018/IJDSST.2019010105
Volume 11
Adnane Laredj, Baroudi Rouba, Claude Duvallet
Group decision support system (GDSS) can be appropriate if used in e-maintenance decision-related meeting as a medium for them to share, extract and analyze the information, and making decision. In...
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Group decision support system (GDSS) can be appropriate if used in e-maintenance decision-related meeting as a medium for them to share, extract and analyze the information, and making decision. In addition, in any GDSS, facilitation process is capital, since a facilitator makes meetings more productive and efficient, by managing the content. However, the election of the expert's group facilitator has been only based on networks quality between the expert and the breakdown site, while, according to case study and maintenance expert interviews, facilitator election consists in identifying and choosing alternatives to find the best solution based on different factors. Therefore, in this article, to formalize the problem of facilitator election using multicriteria decision aid concepts, knowing that the difficult point is the multiplicity of the criteria set for judging the alternatives in the group coordination election problem.
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Laredj, Adnane, et al. "Multi-Criteria Decision Aid for Group Facilitator Election: Application to a Collaborative e-Maintenance Process." IJDSST vol.11, no.1 2019: pp.93-102. http://doi.org/10.4018/IJDSST.2019010105
APA
Laredj, A., Rouba, B., & Duvallet, C. (2019). Multi-Criteria Decision Aid for Group Facilitator Election: Application to a Collaborative e-Maintenance Process. International Journal of Decision Support System Technology (IJDSST), 11(1), 93-102. http://doi.org/10.4018/IJDSST.2019010105
Chicago
Laredj, Adnane, Baroudi Rouba, and Claude Duvallet. "Multi-Criteria Decision Aid for Group Facilitator Election: Application to a Collaborative e-Maintenance Process," International Journal of Decision Support System Technology (IJDSST) 11, no.1: 93-102. http://doi.org/10.4018/IJDSST.2019010105
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