Decision-Making under Uncertainty for the Deployment of Future Hyperconnected Networks: A Survey

Alzate-Mejía, Néstor; Santos-Boada, Germán; Amazonas, José Roberto de Almeida

doi:10.3390/s21113791

Cited by 5 publications

(4 citation statements)

References 191 publications

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“…As an example, when making informed decisions, it is crucial to know how reliable the data are that the decisions are based on. Uncertainty estimates have been successfully used for decision making in many fields of application (Council, 2006; Soroudi and Amraee, 2013; Martin and Johnson, 2019;Sniazhko, 2019;Alzate-Mejía et al, 2021), and we argue that they are equally relevant in forest management in order to optimize decisions for cost, carbon stock, biodiversity etc.…”

Section: Introductionmentioning

confidence: 91%

Country-wide retrieval of forest structure from optical and SAR satellite imagery with deep ensembles

Becker

Russo

Puliti

et al. 2023

ISPRS Journal of Photogrammetry and Remote Sensing

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Section: Introductionmentioning

confidence: 91%

Country-wide retrieval of forest structure from optical and SAR satellite imagery with deep ensembles

Becker

Russo

Puliti

et al. 2023

ISPRS Journal of Photogrammetry and Remote Sensing

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“…In future research, we propose to evaluate the reference architecture in several use cases where human uncertainty VOLUME 11, 2023 impacts the domain of state-of-the-art technologies. These cases include those we have identified in [23].…”

Section: Discussionmentioning

confidence: 90%

“…The present work builds on the results of two previous investigations. The first of these studies identified several situations within the IoT field where human uncertainty negatively impacted performance [23]. Based on this, a use case was developed for a Vehicle for Hire (VFH) application that operated on a 5G slice and demonstrated the negative effects of human uncertainty on telecommunication networks [24].…”

Section: B Integrating Human Behavior Into Cpssmentioning

confidence: 99%

A Multidisciplinary Model to Quantify Human Uncertainty in Human-Centric Cyber-Physical-Social Systems: A 5G Application Use Case

Mejia,

Perelló,

Santos-Boada

et al. 2024

IEEE Access

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The emerging Human-Centric Networks (HCN) paradigm shifts the passive role of individuals to an active one, intertwining the uncertainty of network resource usage with human dynamics, which are difficult to analyze and predict. This phenomenon implies an increase in reciprocal interactions between Cyber-Physical-Social Systems (CPSS) and human activities, presenting the challenge of efficiently allocating network resources while taking into account qualitative human uncertainty. In this study, we propose a conceptual model that addresses and quantifies such uncertainties. The proposed model is characterized by its adaptability to various CPSS applications, facilitating its integration into existing applications and future innovations. The adaptability of the model is based on the application of the sociological concept of Boundary Objects (BO), which allows for the structuring of system components and the generation of a reference architecture that facilitates systematic problem solving. To evaluate the model, we propose a use case related to a Vehicle for Hire (VFH) application operating within a 5G network slice. The integration of the proposed model with the OMNET++ simulation framework has allowed to demonstrate the effectiveness of the model in intricate computational environments and have shown its capacity to incorporate previously overlooked elements that are essential for the optimal allocation of resources in CPSS. This study proposes a methodology for comprehending and mitigating the consequences of human uncertainty, emphasizing the significance of a multidisciplinary approach to resource allocation in sophisticated technological systems.INDEX TERMS Cyber-Physical-Social Systems, human-centric networks, human uncertainty modeling, network slicing.

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“…Another aspect of situations that makes the establishment of standards important is the complexity and subjectivity of the application of the related criteria [7,8]. As a consequence, it is important not only to simplify the measurements but also to make them comparable and to ensure that the relations between the measurements according to different criteria, the forms of criteria importance assessment, and the criteria combination rules can be easily explained.…”

Section: Introductionmentioning

confidence: 99%

Standards for the Weighting of Criteria and the Measurement of Interaction

Sant’Anna

2021

Standards

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This article discusses the need for standards for the assignment of importance to criteria and the measurement of interaction between them in multiple criteria analyses of complex systems. A strategy for criteria evaluation is considered that is suitable to account for the interaction among a wide variety of imprecisely assessed criteria applied simultaneously. It is based on the results of collecting sample information on preferences according to the specified criteria instead of merely an abstract comparison of the criteria. The comparison of alternatives is based on objectives that determine the formation of preferences. It is facilitated by a rating in terms of preference probabilities. Probabilistic standards grant homogeneity of measurements by different criteria, which is useful for the combination of the criteria. These standards apply to a sampling evaluation conducted via pairwise trichotomic comparison of the alternatives according to each criterion, followed by the combination of these multiple evaluations into a single global score by means of the Choquet Integral with respect to a capacity determined by applying preference concentration to the sets of probabilistic assessments. Examples of practical application are discussed.

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Decision-Making under Uncertainty for the Deployment of Future Hyperconnected Networks: A Survey

Cited by 5 publications

References 191 publications

Country-wide retrieval of forest structure from optical and SAR satellite imagery with deep ensembles

Country-wide retrieval of forest structure from optical and SAR satellite imagery with deep ensembles

A Multidisciplinary Model to Quantify Human Uncertainty in Human-Centric Cyber-Physical-Social Systems: A 5G Application Use Case

Standards for the Weighting of Criteria and the Measurement of Interaction

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