Analysis reuse exploiting taxonomical information and belief assignment in industrial problem solving

[1]  Mohamed Hedi Karray,et al.  A Formal Ontology for Semantics in Maintenance Platforms , 2014 .

[2]  Bernard Kamsu-Foguem,et al.  Graph-based reasoning in collaborative knowledge management for industrial maintenance , 2013, Comput. Ind..

[3]  Bernard Kamsu-Foguem,et al.  Knowledge reuse integrating the collaboration from experts in industrial maintenance management , 2013, Knowl. Based Syst..

[4]  Bernard Kamsu-Foguem,et al.  Conceptual graph-based knowledge representation for supporting reasoning in African traditional medicine , 2013, Eng. Appl. Artif. Intell..

[5]  Bernard Kamsu-Foguem,et al.  Mining association rules for the quality improvement of the production process , 2013, Expert Syst. Appl..

[6]  Bernard Kamsu-Foguem,et al.  User-centered visual analysis using a hybrid reasoning architecture for intensive care units , 2012, Decision Support Systems.

[7]  Jeroen de Mast,et al.  An analysis of the Six Sigma DMAIC method from the perspective of problem solving , 2012 .

[8]  Bernard Kamsu-Foguem,et al.  Optimizing construction of scheduled data flow graph for on-line testability , 2012 .

[9]  Bernard Kamsu-Foguem,et al.  Knowledge-based support in Non-Destructive Testing for health monitoring of aircraft structures , 2012, Adv. Eng. Informatics.

[10]  Osvaldo Cairó,et al.  The KAMET II methodology: Knowledge acquisition, knowledge modeling and knowledge generation , 2012, Expert Syst. Appl..

[11]  Brigitte Chebel-Morello,et al.  A formal ontology for industrial maintenance , 2012, Appl. Ontology.

[12]  Fernando Alonso,et al.  Cooperation between expert knowledge and data mining discovered knowledge: Lessons learned , 2012, Expert Syst. Appl..

[13]  Pablo Bermell-Garcia,et al.  A framework for management of Knowledge-Based Engineering applications as software services: Enabling personalization and codification , 2012, Adv. Eng. Informatics.

[14]  Robert I. M. Young,et al.  Assessment of a Product Range Model concept to support design reuse using rule based systems and case based reasoning , 2012, Adv. Eng. Informatics.

[15]  Pablo Bermell-Garcia,et al.  A critical review of Knowledge-Based Engineering: An identification of research challenges , 2012, Adv. Eng. Informatics.

[16]  Abdelaziz El Fazziki,et al.  How Workflow Systems Facilitate Business Process Reengineering and Improvement , 2012 .

[17]  Bernard Kamsu-Foguem,et al.  Continuous improvement through knowledge-guided analysis in experience feedback , 2011, Eng. Appl. Artif. Intell..

[18]  Benoît Iung,et al.  Dynamic behavioural model for assessing impact of regeneration actions on system availability: Application to weapon systems , 2011, Reliab. Eng. Syst. Saf..

[19]  David Sánchez,et al.  Ontology-based information content computation , 2011, Knowl. Based Syst..

[20]  David Sánchez,et al.  An ontology-based measure to compute semantic similarity in biomedicine , 2011, J. Biomed. Informatics.

[21]  Aurora Pérez,et al.  Cooperation Between Expert Knowledge and Data Mining Discovered Knowledge , 2011 .

[22]  Enrico Zio,et al.  Some considerations on the treatment of uncertainties in risk assessment for practical decision making , 2011, Reliab. Eng. Syst. Saf..

[23]  T. Maung.  on in C , 2010 .

[24]  Hisham Al-Mubaid,et al.  Measuring Semantic Similarity Between Biomedical Concepts Within Multiple Ontologies , 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[25]  Céline Tea.  Retour d'expérience et données subjectives : quel système d'information pour la gestion des risques ? , 2009 .

[26]  Negar Armaghan.  Contribution à un système de retour d'expérience basé sur le raisonnement à partir de cas conversationnel : application à la gestion des pannes de machines industrielles , 2009 .

[27]  Minh Ha-Duong.  Hierarchical fusion of expert opinions in the Transferable Belief Model, application to climate sensitivity , 2008, Int. J. Approx. Reason..

[28]  Bernard Kamsu-Foguem,et al.  Knowledge formalization in experience feedback processes: An ontology-based approach , 2008, Comput. Ind..

[29]  Philippe Smets,et al.  The Transferable Belief Model , 1991, Artif. Intell..

[30]  Roger G. Schroeder,et al.  Method and context perspectives on learning and knowledge creation in quality management , 2007 .

[31]  Philippe Smets,et al.  Decision making in the TBM: the necessity of the pignistic transformation , 2005, Int. J. Approx. Reason..

[32]  T. de Jong.  Problem solving methodologies. , 2005 .

[33]  Minkoo Kim,et al.  Topic distillation using hierarchy concept tree , 2003, SIGIR '03.

[34]  Ralph Bergmann,et al.  Experience Management: Foundations, Development Methodology, and Internet-Based Applications , 2002 .

[35]  Laurent Geneste,et al.  Elaboration and Exploitation of Lessons Learned , 2002, Intelligent Information Processing.

[36]  Nicola Guarino,et al.  Supporting ontological analysis of taxonomic relationships , 2001, Data Knowl. Eng..

[37]  Rosina O. Weber,et al.  Intelligent lessons learned systems , 2001, Expert Syst. Appl..

[38]  Christiane Fellbaum,et al.  Combining Local Context and Wordnet Similarity for Word Sense Identification , 1998 .

[39]  Martin Chodorow,et al.  Combining local context and wordnet similarity for word sense identification , 1998 .

[40]  Thomas R. Gruber,et al.  Toward principles for the design of ontologies used for knowledge sharing? , 1995, Int. J. Hum. Comput. Stud..

[41]  Martha Palmer,et al.  Verb Semantics and Lexical Selection , 1994, ACL.

[42]  D. Kolb.  Experiential Learning: Experience as the Source of Learning and Development , 1983 .