A state-of the-art survey & testbed of fuzzy AHP (FAHP) applications von Kubler, Sylvain, Robert, Jérémy, Derigent, William, Voisin, Alexandre, Le Traon, Yves

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Measuring inconsistency and deriving priorities from fuzzy pairwise comparison matrices using the knowledge-based consistency index von Kubler, Sylvain, Derigent, William, Voisin, Alexandre, Robert, Jérérmy, Le Traon, Yves, Viedma, Enrique Herrera

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Control Sequence Ranking for Critical System Based on Health of Equipment Thanks to Choquet Integral von Bouaziz, Mohammed-Farouk, Marange, Pascale, Voisin, Alexandre, Petin, Jean-Francois

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Artificial-intelligence-based maintenance decision-making and optimization for multi-state component systems von Nguyen, Van-Thai, Do, Phuc, Vosin, Alexandre, Iung, Benoit

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Measuring maintenance impacts on sustainability of manufacturing industries: from a systematic literature review to a framework proposal von Franciosi, Chiara, Voisin, Alexandre, Miranda, Salvatore, Riemma, Stefano, Iung, Benoit

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A proactive condition-based maintenance strategy with both perfect and imperfect maintenance actions von Do, Phuc, Voisin, Alexandre, Levrat, Eric, Iung, Benoit

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Choquet integral with stochastic entries von Petot, Yann, Vallois, Pierre, Voisin, Alexandre

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Ontologies for prognostics and health management of production systems: overview and research challenges von Franciosi, Chiara, Eslami, Yasamin, Lezoche, Mario, Voisin, Alexandre

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Few-shot remaining useful life prognostics through auxiliary training with related data-set von Chaoub, Alaaeddine, Voisin, Alexandre, Cerisara, Christophe, Iung, Benoit

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A decision tool for disassembly process planning under end-of-life product quality von Bentaha, Mohand-Lounes, Voisin, Alexandre, Marangé, Pascale

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A collaborative network of digital twins for anomaly detection applications of complex systems. Snitch Digital Twin concept von Calvo-Bascones, Pablo, Voisin, Alexandre, Do, Phuc, Sanz-Bobi, Miguel A.

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Reinforcement learning for maintenance decision-making of multi-state component systems with imperfect maintenance von Nguyen, Van-Thai, Do Van, Phuc, Voisin, Alexandre, Iung, Benoît

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Multi-agent deep reinforcement learning-based maintenance optimization for multi-dependent component systems von Do, Phuc, Nguyen, Van-Thai, Voisin, Alexandre, Iung, Benoit, Neto, Waldomiro Alves Ferreira

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End-of-Life product quality management for efficient design of disassembly lines under uncertainty von Bentaha, Mohand-Lounes, Marangé, Pascale, Voisin, Alexandre, Moalla, Néjib

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Parameter identification of health indicator aggregation for decision-making in predictive maintenance: Application to machine tool von Laloix, Thomas, Iung, Benoit, Voisin, Alexandre, Romagne, Eric

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Data-driven drift detection and diagnosis framework for predictive maintenance of heterogeneous production processes: Application to a multiple tapping process von Chapelin, Julien, Voisin, Alexandre, Rose, Bertrand, Iung, Benoît, Steck, Lionel, Chaves, Ludovic, Lauer, Mathieu, Jotz, Olivier

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A conceptual framework proposal for the implementation of Prognostic and Health Management in production systems von Abbate, Raffaele, Franciosi, Chiara, Voisin, Alexandre, Fera, Marcello

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Opportunistic maintenance based on multi-dependent components of manufacturing system von Iung, Benoit, Do, Phuc, Levrat, Eric, Voisin, Alexandre

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Data Augmentation-based Prognostics for Predictive Maintenance of Industrial System von Gay, Antonin, Voisin, Alexandre, Iung, Benoit, Do, Phuc, Bonidal, Rémi, Khelassi, Ahmed

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Predictive diagnosis based on a fleet-wide ontology approach von Medina-Oliva, Gabriela, Voisin, Alexandre, Monnin, Maxime, Leger, Jean-Baptiste

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