Institutional Repository
Technical University of Crete
Technical University of Crete
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| URI: | http://purl.tuc.gr/dl/dias/9AD7FB95-D852-45B3-ADB8-37D9187A30BD | ||
| Year | 2025 | ||
| Type of Item | Diploma Work | ||
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| Bibliographic Citation | Angelos Mylonakis, "Development of an Intelligent System for the Implementation of Policies in Public Shared Space License Granting and Control Procedures", Diploma Work, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2025 https://doi.org/10.26233/heallink.tuc.104120 | ||
| Appears in Collections |
In our days, Intelligent Software Systems based on Artificial Intelligence can substantially support the proper implementation of administrative policies and assist public sector organizations in exercising their responsibilities. The main objective of implementing such systems is to enhance the decision-making process in environments, where conflicts typically arise, due to different policies, priorities, or user roles. The aim of this diploma thesis is to support decision-making in the management of public shared space. The developed system is applied to a critical process within the Revenue Department of the Municipality of Chania, serving as a practical case study. Specifically, the work concerns decision-making for the licensing procedure of public shared space use for the arrangement of outdoor seating areas and the inspection and imposition of fines for non-compliance or unauthorized use of the space. Taking into account the provisions of the applicable legal framework, the system prompts the users at each stage to make a decision based on the type and completeness of the submitted application. Users decide whether to advance the License Granting procedure or to initiate other necessary actions required for its resolution. Through the automation of rules and policy implementation, the system contributes to achieving increased operational maturity and readiness, while simultaneously reducing the time required for decision-making and action implementation. The system utilizes the rAIson platform, a hierarchical argumentation tool, for its data processing and decision-making logic. To ensure an intuitive and user-friendly interface, the qualitative "Think Aloud Protocol" (TAP) was applied during the development process. Finally, the system's usability was evaluated by end-users with the System Usability Scale (SUS). The evaluation results indicate that the system was positively assessed in terms of usability by the participants. The clear tendency to agree with positive statements and disagree with negative ones further supports the conclusion that the proposed system is user-friendly and easy to use.
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