Publications tagged with "Decision supports"

1. A TOPSIS-Based Approach to Evaluate Alternative Solutions for GDPR-Compliant Smart-City Services Implementation

   Campanile, L., Iacono, M., Mastroianni, M., Riccio, C., & Viscardi, B. (2026). A TOPSIS-Based Approach to Evaluate Alternative Solutions for GDPR-Compliant Smart-City Services Implementation [Conference paper]. Lecture Notes in Computer Science, 15893 LNCS, 303–316. https://doi.org/10.1007/978-3-031-97645-2_20

   Abstract

   Adapting or designing a system which operates on personal data in EU is impacted by the privacy-by-design and privacy-by-default principles because of the prescriptions of the GDPR. In this paper we propose an approach to decision making which is based on TOPSIS (Technique for Order Preference by Similarity to Ideal Solution). The approach is applied to a GDPR system compliance design process, based on a case study about system performance evaluation by means of queuing networks, but is absolutely general with respect to analogous problems, in which cost issues should be balanced with technical performances and risk exposure. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.

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   {"key"=>"Campanile2026303", "type"=>"Conference paper", "bibtex"=>"@article{Campanile2026303,\n  author = {Campanile, Lelio and Iacono, Mauro and Mastroianni, Michele and Riccio, Christian and Viscardi, Bruna},\n  title = {A TOPSIS-Based Approach to Evaluate Alternative Solutions for GDPR-Compliant Smart-City Services Implementation},\n  year = {2026},\n  journal = {Lecture Notes in Computer Science},\n  volume = {15893 LNCS},\n  pages = {303 – 316},\n  doi = {10.1007/978-3-031-97645-2_20}\n}\n", "author"=>"Campanile, Lelio and Iacono, Mauro and Mastroianni, Michele and Riccio, Christian and Viscardi, Bruna", "author_array"=>[{"first"=>"Lelio", "last"=>"Campanile", "prefix"=>"", "suffix"=>""}, {"first"=>"Mauro", "last"=>"Iacono", "prefix"=>"", "suffix"=>""}, {"first"=>"Michele", "last"=>"Mastroianni", "prefix"=>"", "suffix"=>""}, {"first"=>"Christian", "last"=>"Riccio", "prefix"=>"", "suffix"=>""}, {"first"=>"Bruna", "last"=>"Viscardi", "prefix"=>"", "suffix"=>""}], "author_0_first"=>"Lelio", "author_0_last"=>"Campanile", "author_0_prefix"=>"", "author_0_suffix"=>"", "author_1_first"=>"Mauro", "author_1_last"=>"Iacono", "author_1_prefix"=>"", "author_1_suffix"=>"", "author_2_first"=>"Michele", "author_2_last"=>"Mastroianni", "author_2_prefix"=>"", "author_2_suffix"=>"", "author_3_first"=>"Christian", "author_3_last"=>"Riccio", "author_3_prefix"=>"", "author_3_suffix"=>"", "author_4_first"=>"Bruna", "author_4_last"=>"Viscardi", "author_4_prefix"=>"", "author_4_suffix"=>"", "title"=>"A TOPSIS-Based Approach to Evaluate Alternative Solutions for GDPR-Compliant Smart-City Services Implementation", "year"=>"2026", "journal"=>"Lecture Notes in Computer Science", "volume"=>"15893 LNCS", "pages"=>"303 – 316", "doi"=>"10.1007/978-3-031-97645-2_20", "url"=>"https://www.scopus.com/inward/record.uri?eid=2-s2.0-105010824131&doi=10.1007%2f978-3-031-97645-2_20&partnerID=40&md5=35e0e240c555d79f691963c61399c08b", "abstract"=>"Adapting or designing a system which operates on personal data in EU is impacted by the privacy-by-design and privacy-by-default principles because of the prescriptions of the GDPR. In this paper we propose an approach to decision making which is based on TOPSIS (Technique for Order Preference by Similarity to Ideal Solution). The approach is applied to a GDPR system compliance design process, based on a case study about system performance evaluation by means of queuing networks, but is absolutely general with respect to analogous problems, in which cost issues should be balanced with technical performances and risk exposure.   © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.", "author_keywords"=>"Data management; Decision support; GDPR; Information systems; Performance evaluation; Privacy; Queuing networks; Risk Analysis; Risk Assessment", "keywords"=>"Computer network performance evaluation; Decision making; Information management; Information systems; Information use; Risk analysis; Risk management; Alternative solutions; Decision supports; GDPR; Performances evaluation; Privacy; Queuing network; Risk analyze; Risks assessments; Solution based approaches; Technique for order preference by similarities to ideal solutions; Decision support systems; Risk assessment", "publication_stage"=>"Final", "source"=>"Scopus", "note"=>"Cited by: 0"}
       

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2. Assessing Safety and Sustainability of a Monitoring System for Nuclear Waste Management

   Di Giovanni, M., Verde, L., Campanile, L., Romoli, M., Sabbarese, C., & Marrone, S. (2025). Assessing Safety and Sustainability of a Monitoring System for Nuclear Waste Management [Article]. IEEE Access, 13, 120486–120505. https://doi.org/10.1109/ACCESS.2025.3586735

   Abstract

   Nowadays, nuclear technologies are increasingly being integrated into industry, healthcare and manufacturing. As a side effect, waste materials are produced according to standard processes which are subject to international regulations. One of the most critical phases is the pre-disposal, due to the uncertainty related to the evolution of the materials and their potential impact on environmental protection. This paper introduces the architecture of a monitoring system able to accomplish safety goals and to guarantee energetic sustainability. The possibility of defining different system configurations (e. g., sensor scheduling policies, geometry of the sites, trustworthiness of the sensors) fosters a high adaptability to several monitoring scenarios, being characterised by different safety and sustainability levels. A methodology, integrating a model-based approach with data collection and processing, is proposed to quantitatively evaluate system configurations. This methodology is based on the definition of two metrics — one for safety and one for sustainability — and an assessment model. The model computes the metrics considering geometry of the place, scheduling and trustworthiness of monitoring sensors. This is a first step in the construction of a Decision Support System able to aid human operators in assessing system configurations and finding possible safety/sustainability trade-offs. A case study is used to show the feasibility of the approach: some configurations are evaluated on the real plant, placed at Řež in the Czech Republic, assessing them on the base of the defined metrics. © 2025 The Authors.

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