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380. Measuring innovation performance in smart ports under uncertainty: A neutrosophic approach
Invited abstract in session WD-62: Port Performance, stream OR in Port Operations.
Wednesday, 14:30-16:00Room: S12 (building: 101)
Authors (first author is the speaker)
1. | Antonios Paraskevas
|
Dept. of Applied Informatics, University of Macedonia | |
2. | Michael Madas
|
Department of Applied Informatics, University of Macedonia |
Abstract
Smart ports offer a paradigm shift in the constantly evolving marine logistics industry, utilizing cutting-edge technology to enhance efficiency and sustainability. However, accurately measuring innovation performance in these complex and uncertain situations requires a creative and adaptable approach. This study presents a Neutrosophic Approach to measuring innovation success at smart ports while acknowledging and quantifying the inherent uncertainties. Our research incorporates neutrosophic set theory, which is a mathematical framework capable of handling imprecise and indeterminate data. This methodology enables the consideration of unpredictable factors that influence innovation in smart ports, such as technological disruptions, legislative changes, and market dynamics. By employing neutrosophic logic, the model captures the inherent ambiguity and vagueness associated with evaluating innovation performance in this rapidly evolving market. The study approach involves a comprehensive assessment of key performance indicators (KPIs) related to smart port innovation, accounting for both standard metrics and emerging indicators specific to the digitalization and automation of port operations. Neutrosophic language variables are utilized to measure the degree of truth, indeterminacy and falsehood associated with each KPI, facilitating a more nuanced evaluation by providing a comprehensive understanding of innovation success in smart ports amidst uncertainty.
Keywords
- Maritime applications
- Fuzzy Sets and Systems
- Multi-Objective Decision Making
Status: accepted
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