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Generating relevant scenarios for intelligent transportation service
Generating relevant scenarios for intelligent transportation service
Abstract : This paper addresses risk assessment issues while conceiving complex systems. Indeed, project stakeholders have to share the same problems understanding allowing to undertake rational and optimal decisions. We propose an approach based on Natural Language Processing (NLP) techniques to improve systems quality requirements such as consistency and completeness. We assess the relevancy of our approaches through experimentations and highlighted feedbacks from project stakeholders and players.
Cited literature [7 references]
https://hal.archives-ouvertes.fr/hal-02351552
Contributor : Ismet Addoui Connect in order to contact the contributor
Submitted on : Wednesday, November 6, 2019 - 2:32:34 PM
Last modification on : Thursday, January 21, 2021 - 3:23:17 PM
Long-term archiving on: : Saturday, February 8, 2020 - 3:53:27 AM
Contributor : Ismet Addoui Connect in order to contact the contributor
Submitted on : Wednesday, November 6, 2019 - 2:32:34 PM
Last modification on : Thursday, January 21, 2021 - 3:23:17 PM
Long-term archiving on: : Saturday, February 8, 2020 - 3:53:27 AM
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