AI-powered decision making for road safety optimization under probabilistic linguistic Sugeno-Weber aggregation information

Traffic accidents, a global concern, pose threats to lives and carry substantial economic and societal burdens. This paper explores the innovative integration of artificial intelligence (AI) into the ambiance of Multi Criteria Decision Making (MCDM) to address the challenge. We investigate AI's pote...

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Autores principales:	Shahzaib Ashraf, Tooba Shahid, Jungeun Kim, M. Shazib Hameed, Ibrahim M. Hezam, Chiranjibe Jana
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Elsevier 2024-10-01
Colección:	Heliyon
Materias:	Probabilistic linguistic term sets Aggregation operators Multi-Criteria Decision Making (MCDM) TOPSIS method
Acceso en línea:	http://www.sciencedirect.com/science/article/pii/S2405844024146257
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