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Symbolic possibilistic logic: completeness and inference methods.

, , и . J. Log. Comput., 28 (1): 219-244 (2018)

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Fayçal Hamdi

Fayçal Bessayah

Fayçal Kamoun

Marguerite Fayçal

Faycal Majdoub

 

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Handling qualitative conditional preference queries in SPARQL: possibilistic logic approach., и . Int. J. Web Inf. Syst., 19 (5/6): 208-243 (2023)On the Semantics of Partially Ordered Bases., , и . FoIKS, том 8367 из Lecture Notes in Computer Science, стр. 136-153. Springer, (2014)A Progressive Deep Transfer Learning for the Diagnosis of Alzheimer's Disease on Brain MRI Images., , , , , , , и . ICAITA, том 1769 из Communications in Computer and Information Science, стр. 65-78. Springer, (2022)Conditional Preference-Nets, Possibilistic Logic, and the Transitivity of Priorities., , и . SGAI Conf., стр. 175-184. Springer, (2013)Erratum to: Database preference queries - a possibilistic logic approach with symbolic priorities., , , и . Ann. Math. Artif. Intell., 73 (3-4): 359-363 (2015)A Possibilistic Logic Approach to Conditional Preference Queries., , и . FQAS, том 8132 из Lecture Notes in Computer Science, стр. 376-388. Springer, (2013)Two-Stage Approach for Semantic Image Segmentation of Breast Cancer: Deep Learning and Mass Detection in Mammographic Images., , , и . IDDM, том 3609 из CEUR Workshop Proceedings, стр. 62-76. CEUR-WS.org, (2023)Possibilistic Reasoning from Partially Ordered Belief Bases with the Sure Thing Principle., , и . FLAP, 5 (1): 5-40 (2018)Raisonnement avec des croyances partiellement ordonnées. (Reasoning with partially ordered belief bases).. National Polytechnic Institute of Toulouse, France, (2016)Bi-ESRGAN: A New Approach of Document Image Super-Resolution Based on Dual Deep Transfer Learning., , , , , и . ICAITA, том 1769 из Communications in Computer and Information Science, стр. 110-122. Springer, (2022)