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Littérature scientifique sur le sujet « Fuzzy formal concept analysis »

Auteur : Grafiati
Publié le 10 mars 2023
Mis à jour le 19 juillet 2025

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Articles de revues sur le sujet "Fuzzy formal concept analysis"

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Mohammed, Alwersh, and Kovács László. "Fuzzy formal concept analysis: approaches, applications and issues." Computer Science and Information Technologies 3, no. 2 (2022): 126–36. https://doi.org/10.11591/csit.v3i2.pp126-136.

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Formal concept analysis (FCA) is today regarded as a significant technique for knowledge extraction, representation, and analysis for applications in a variety of fields. Significant progress has been made in recent years to extend FCA theory to deal with uncertain and imperfect data. The computational complexity associated with the enormous number of formal concepts generated has been identified as an issue in various applications. In general, the generation of a concept lattice of sufficient complexity and size is one of the most fundamental challenges in FCA. The goal of this work is to pro
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Supriyati, Endang. "FUZZY FORMAL CONCEPT ANALYSIS UNTUK KEMIRIPAN DOKUMEN." Simetris : Jurnal Teknik Mesin, Elektro dan Ilmu Komputer 1, no. 1 (2013): 21. http://dx.doi.org/10.24176/simet.v1i1.111.

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ABSTRAK Fuzzy logic dapat dimasukkan ke dalam ontologi untuk representasi ketidakpastian informasi yang ditemukan di banyak aplikasi domain karena kurangnya jelas batas-batas antara konsep domain. Fuzzy ontologi dihasilkan dari konsep hirarki yang telah ditetapkan. Namun, untuk membangun sebuah konsep hirarki untuk domain tertentu dapat menjadi tugas yang sulit dan membosankan. Untuk mengatasi masalah ini, diusulkan Fuzzy Formal Concept Analysis(FFCA). Titik awal dari metode diusulkan dalam paper ini adalah definisi dari konteks , relasi kemiripan pada domain ontologi kemudian memetakan ke dal
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FORMICA, ANNA. "CONCEPT SIMILARITY IN FUZZY FORMAL CONCEPT ANALYSIS FOR SEMANTIC WEB." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 18, no. 02 (2010): 153–67. http://dx.doi.org/10.1142/s0218488510006465.

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This paper presents a method for evaluating concept similarity within Fuzzy Formal Concept Analysis. In the perspective of developing the Semantic Web, such a method can be helpful when the digital resources found on the Internet cannot be treated equally and the integration of fuzzy data becomes fundamental for the search and discovery of information in the Web.
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Haddache, Mohamed, Allel Hadjali, and Hamid Azzoune. "Skyline refinement exploiting fuzzy formal concept analysis." International Journal of Intelligent Computing and Cybernetics 14, no. 3 (2021): 333–62. http://dx.doi.org/10.1108/ijicc-11-2020-0181.

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PurposeThe study of the skyline queries has received considerable attention from several database researchers since the end of 2000's. Skyline queries are an appropriate tool that can help users to make intelligent decisions in the presence of multidimensional data when different, and often contradictory criteria are to be taken into account. Based on the concept of Pareto dominance, the skyline process extracts the most interesting (not dominated in the sense of Pareto) objects from a set of data. Skyline computation methods often lead to a set with a large size which is less informative for
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Konecny, Jan, and Ondrej Krídlo. "On biconcepts in formal fuzzy concept analysis." Information Sciences 375 (January 2017): 16–29. http://dx.doi.org/10.1016/j.ins.2016.09.042.

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Konecny, Jan, and Michal Krupka. "Block relations in formal fuzzy concept analysis." International Journal of Approximate Reasoning 73 (June 2016): 27–55. http://dx.doi.org/10.1016/j.ijar.2016.02.004.

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Shao, Ming-Wen, Min Liu, and Wen-Xiu Zhang. "Set approximations in fuzzy formal concept analysis." Fuzzy Sets and Systems 158, no. 23 (2007): 2627–40. http://dx.doi.org/10.1016/j.fss.2007.05.002.

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Alwersh, Mohammed, and Kovács László. "Fuzzy formal concept analysis: approaches, applications and issues." Computer Science and Information Technologies 3, no. 2 (2022): 126–36. http://dx.doi.org/10.11591/csit.v3i2.p126-136.

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Formal concept analysis (FCA) is today regarded as a significant technique for knowledge extraction, representation, and analysis for applications in a variety of fields. Significant progress has been made in recent years to extend FCA theory to deal with uncertain and imperfect data. The computational complexity associated with the enormous number of formal concepts generated has been identified as an issue in various applications. In general, the generation of a concept lattice of sufficient complexity and size is one of the most fundamental challenges in FCA. The goal of this work is to pro
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Mohammed Alwersh and László Kovács. "Fuzzy formal concept analysis: approaches, applications and issues." Computer Science and Information Technologies 3, no. 2 (2022): 126–36. http://dx.doi.org/10.11591/csit.v3i2.pp126-136.

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Formal concept analysis (FCA) is today regarded as a significant technique for knowledge extraction, representation, and analysis for applications in a variety of fields. Significant progress has been made in recent years to extend FCA theory to deal with uncertain and imperfect data. The computational complexity associated with the enormous number of formal concepts generated has been identified as an issue in various applications. In general, the generation of a concept lattice of sufficient complexity and size is one of the most fundamental challenges in FCA. The goal of this work is to pro
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Liu, Yan, Sheng Quan Liu, and Peng Li. "Tourism Domain Ontology Construction Method Based on Fuzzy Formal Concept Analysis." Applied Mechanics and Materials 347-350 (August 2013): 2809–13. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.2809.

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In this paper, fuzzy formal concept analysis is introduced to the tourism domain ontology construction process, first fuzzy formal concept analysis of uncertain information in the domain of tourism,then through the conceptual clustering generated fuzzy concept hierarchy, lastly mapping to get fuzzy ontology prototype. A example shows that the method is feasible and effective.
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Thèses sur le sujet "Fuzzy formal concept analysis"

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De, Maio Carmen. "Fuzzy concept analysis for semantic knowledge extraction." Doctoral thesis, Universita degli studi di Salerno, 2012. http://hdl.handle.net/10556/1307.

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2010 - 2011<br>Availability of controlled vocabularies, ontologies, and so on is enabling feature to provide some added values in terms of knowledge management. Nevertheless, the design, maintenance and construction of domain ontologies are a human intensive and time consuming task. The Knowledge Extraction consists of automatic techniques aimed to identify and to define relevant concepts and relations of the domain of interest by analyzing structured (relational databases, XML) and unstructured (text, documents, images) sources. Specifically, methodology for knowledge extraction defined in t
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Konecny, Jan. "Isotone fuzzy Galois connections and their applications in formal concept analysis." Diss., Online access via UMI:, 2009.

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Thesis (Ph. D.)--State University of New York at Binghamton, Thomas J. Watson School of Engineering and Applied Science, Department of Systems Science and Industrial Engineering, 2009.<br>Includes bibliographical references.
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Glodeanu, Cynthia Vera. "Conceptual Factors and Fuzzy Data." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2013. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-103775.

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With the growing number of large data sets, the necessity of complexity reduction applies today more than ever before. Moreover, some data may also be vague or uncertain. Thus, whenever we have an instrument for data analysis, the questions of how to apply complexity reduction methods and how to treat fuzzy data arise rather naturally. In this thesis, we discuss these issues for the very successful data analysis tool Formal Concept Analysis. In fact, we propose different methods for complexity reduction based on qualitative analyses, and we elaborate on various methods for handling fuzzy data.
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Ayouni, Sarra. "Etude et Extraction de règles graduelles floues : définition d'algorithmes efficaces." Thesis, Montpellier 2, 2012. http://www.theses.fr/2012MON20015/document.

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L'Extraction de connaissances dans les bases de données est un processus qui vise à extraire un ensemble réduit de connaissances à fortes valeurs ajoutées à partir d'un grand volume de données. La fouille de données, l'une des étapes de ce processus, regroupe un certain nombre de taches, telles que : le clustering, la classification, l'extraction de règles d'associations, etc.La problématique d'extraction de règles d'association nécessite l'étape d'extraction de motifs fréquents. Nous distinguons plusieurs catégories de motifs : les motifs classiques, les motifs flous, les motifs graduels, les
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Novi, Daniele. "Knowledge management and Discovery for advanced Enterprise Knowledge Engineering." Doctoral thesis, Universita degli studi di Salerno, 2014. http://hdl.handle.net/10556/1466.

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2012 - 2013<br>The research work addresses mainly issues related to the adoption of models, methodologies and knowledge management tools that implement a pervasive use of the latest technologies in the area of Semantic Web for the improvement of business processes and Enterprise 2.0 applications. The first phase of the research has focused on the study and analysis of the state of the art and the problems of Knowledge Discovery database, paying more attention to the data mining systems. The most innovative approaches which were investigated for the "Enterprise Knowledge Engineering" are liste
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Dao, Ngoc Bich. "Réduction de dimension de sac de mots visuels grâce à l’analyse formelle de concepts." Thesis, La Rochelle, 2017. http://www.theses.fr/2017LAROS010/document.

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La réduction des informations redondantes et/ou non-pertinentes dans la description de données est une étape importante dans plusieurs domaines scientifiques comme les statistiques, la vision par ordinateur, la fouille de données ou l’apprentissage automatique. Dans ce manuscrit, nous abordons la réduction de la taille des signatures des images par une méthode issue de l’Analyse Formelle de Concepts (AFC), qui repose sur la structure du treillis des concepts et la théorie des treillis. Les modèles de sac de mots visuels consistent à décrire une image sous forme d’un ensemble de mots visuels ob
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Diner, Casri. "Visualizing Data With Formal Concept Analysis." Master's thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/1046325/index.pdf.

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In this thesis, we wanted to stress the tendency to the geometry of data. This should be applicable in almost every branch of science, where data are of great importance, and also in every kind of industry, economy, medicine etc. Since machine&#039<br>s hard-disk capacities which is used for storing datas and the amount of data you can reach through internet is increasing day by day, there should be a need to turn this information into knowledge. This is one of the reasons for studying formal concept analysis. We wanted to point out how this application is related with algebra and logic. The
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Krajča, Petr. "Advanced algorithms for formal concept analysis." Diss., Online access via UMI:, 2009.

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Thesis (Ph. D.)--State University of New York at Binghamton, Thomas J. Watson School of Engineering and Applied Science, Department of Systems Science and Industrial Engineering, 2009.<br>Includes bibliographical references.
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Petersen, Wiebke, and Petja Heinrich. "Qualitative Citation Analysis Based on Formal Concept Analysis." Universitätsbibliothek Chemnitz, 2008. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-200801464.

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Zu den Aufgaben der Bibliometrie gehört die Zitationsanalyse (Kessler 1963), das heißt die Analyse von Kozitationen (zwei Texte werden kozipiert, wenn es einen Text gibt, in dem beide zitiert werden) und die bibliographische Kopplung (zwei Texte sind bibliographisch gekoppelt, wenn beide eine gemeinsame Zitation aufweisen). In dem Vortrag wird aufgezeigt werden, daß die Formale Begriffsanalyse (FBA) für eine qualitative Zitationsanalyse geeignete Mittel bereithält. Eine besondere Eigenschaft der FBA ist, daß sie die Kombination verschiedenartiger (qualitativer und skalarer) Merkmale ermöglich
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Sertkaya, Baris. "Formal Concept Analysis Methods for Description Logics." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2008. http://nbn-resolving.de/urn:nbn:de:bsz:14-ds-1215598189927-85390.

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This work presents mainly two contributions to Description Logics (DLs) research by means of Formal Concept Analysis (FCA) methods: supporting bottom-up construction of DL knowledge bases, and completing DL knowledge bases. Its contribution to FCA research is on the computational complexity of computing generators of closed sets.
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Livres sur le sujet "Fuzzy formal concept analysis"

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Braud, Agnès, Aleksey Buzmakov, Tom Hanika, and Florence Le Ber, eds. Formal Concept Analysis. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77867-5.

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Cristea, Diana, Florence Le Ber, and Baris Sertkaya, eds. Formal Concept Analysis. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21462-3.

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Kwuida, Léonard, and Barış Sertkaya, eds. Formal Concept Analysis. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-11928-6.

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Ferré, Sébastien, and Sebastian Rudolph, eds. Formal Concept Analysis. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01815-2.

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Cellier, Peggy, Felix Distel, and Bernhard Ganter, eds. Formal Concept Analysis. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38317-5.

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Domenach, Florent, Dmitry I. Ignatov, and Jonas Poelmans, eds. Formal Concept Analysis. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29892-9.

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Valtchev, Petko, and Robert Jäschke, eds. Formal Concept Analysis. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20514-9.

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Glodeanu, Cynthia Vera, Mehdi Kaytoue, and Christian Sacarea, eds. Formal Concept Analysis. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07248-7.

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Ganter, Bernhard, and Rudolf Wille. Formal Concept Analysis. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-59830-2.

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Medina, Raoul, and Sergei Obiedkov, eds. Formal Concept Analysis. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-78137-0.

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Chapitres de livres sur le sujet "Fuzzy formal concept analysis"

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Macko, Juraj. "User-Friendly Fuzzy FCA." In Formal Concept Analysis. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38317-5_10.

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Bělohlávek, Radim, Vladimír Sklenář, and Jiří Zacpal. "Crisply Generated Fuzzy Concepts." In Formal Concept Analysis. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-32262-7_19.

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Bělohlávek, Radim, and Vilém Vychodil. "Attribute Implications in a Fuzzy Setting." In Formal Concept Analysis. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11671404_3.

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Brito, Abner, Laécio Barros, Estevão Laureano, Fábio Bertato, and Marcelo Coniglio. "Fuzzy Formal Concept Analysis." In Communications in Computer and Information Science. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-95312-0_17.

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Lobo, David, Víctor López-Marchante, and Jesús Medina. "Approximating Fuzzy Relation Equations Through Concept Lattices." In Formal Concept Analysis. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-35949-1_1.

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García-Pardo, F., I. P. Cabrera, P. Cordero, and M. Ojeda-Aciego. "On Closure Systems and Adjunctions Between Fuzzy Preordered Sets." In Formal Concept Analysis. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19545-2_7.

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Antoni, Lubomir, Stanislav Krajči, and Ondrej Krídlo. "Randomized Fuzzy Formal Contexts and Relevance of One-Sided Concepts." In Formal Concept Analysis. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19545-2_12.

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Konecny, Jan. "Bonds Between $$L$$ -Fuzzy Contexts Over Different Structures of Truth-Degrees." In Formal Concept Analysis. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19545-2_5.

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Liu, Xiaodong, and Witold Pedrycz. "AFS Formal Concept and AFS Fuzzy Formal Concept Analysis." In Axiomatic Fuzzy Set Theory and Its Applications. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00402-5_8.

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Cordero, Pablo, Manuel Enciso, and Angel Mora. "Directness in Fuzzy Formal Concept Analysis." In Communications in Computer and Information Science. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91473-2_50.

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Actes de conférences sur le sujet "Fuzzy formal concept analysis"

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Zhou, Lei. "Formal concept analysis in intuitionistic fuzzy formal context." In 2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). IEEE, 2010. http://dx.doi.org/10.1109/fskd.2010.5569658.

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Golinska-Pilarek, Joanna, and Ewa Orlowska. "Relational Reasoning in Formal Concept Analysis." In 2007 IEEE International Fuzzy Systems Conference. IEEE, 2007. http://dx.doi.org/10.1109/fuzzy.2007.4295512.

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Shen, Lili, and Dexue Zhang. "Formal concept analysis on fuzzy sets." In 2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS). IEEE, 2013. http://dx.doi.org/10.1109/ifsa-nafips.2013.6608402.

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Kridlo, Ondrej, and Manuel Ojeda-Aciego. "Extending formal concept analysis using intuitionistic l-fuzzy sets." In 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2017. http://dx.doi.org/10.1109/fuzz-ieee.2017.8015570.

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Cross, Valerie V., and Wenting Yi. "Formal concept analysis for ontologies and their annotation files." In 2008 IEEE 16th International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2008. http://dx.doi.org/10.1109/fuzzy.2008.4630646.

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Hashemi, R. R., S. De Agostino, B. Westgeest, and J. R. Talburt. "Data granulation and formal concept analysis." In IEEE Annual Meeting of the Fuzzy Information, 2004. Processing NAFIPS '04. IEEE, 2004. http://dx.doi.org/10.1109/nafips.2004.1336253.

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Zhou, Wen, Zongtian Liu, and Yan Zhao. "Concept Hierarchies Generation for Classification using Fuzzy Formal Concept Analysis." In Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007). IEEE, 2007. http://dx.doi.org/10.1109/snpd.2007.229.

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Li, Sheng-Tun, and Fu-Ching Tsai. "Noise control in document classification based on fuzzy formal concept analysis." In 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2011. http://dx.doi.org/10.1109/fuzzy.2011.6007449.

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Sassi, M., A. Grissa, and H. Ounelli. "Interpreting Fuzzy Clustering Results based on Fuzzy Formal Concept Analysis." In 2007 IEEE International Fuzzy Systems Conference. IEEE, 2007. http://dx.doi.org/10.1109/fuzzy.2007.4295476.

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Belohlavek, Radim, and Jan Konecny. "Scaling, Granulation, and Fuzzy Attributes in Formal Concept Analysis." In 2007 IEEE International Fuzzy Systems Conference. IEEE, 2007. http://dx.doi.org/10.1109/fuzzy.2007.4295488.

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Rapports d'organisations sur le sujet "Fuzzy formal concept analysis"

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Baader, Franz, Bernhard Ganter, Ulrike Sattler, and Barış Sertkaya. Completing Description Logic Knowledge Bases using Formal Concept Analysis. Aachen University of Technology, 2006. http://dx.doi.org/10.25368/2022.155.

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We propose an approach for extending both the terminological and the assertional part of a Description Logic knowledge base by using information provided by the assertional part and by a domain expert. The use of techniques from Formal Concept Analysis ensures that, on the one hand, the interaction with the expert is kept to a minimum, and, on the other hand, we can show that the extended knowledge base is complete in a certain sense.
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Kriegel, Francesco. Efficient Axiomatization of OWL 2 EL Ontologies from Data by means of Formal Concept Analysis. Technische Universität Dresden, 2023. http://dx.doi.org/10.25368/2023.214.

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We present an FCA-based axiomatization method that produces a complete EL TBox (the terminological part of an OWL 2 EL ontology) from a graph dataset in at most exponential time. We describe technical details that allow for efficient implementation as well as variations that dispense with the computation of extremely large axioms, thereby rendering the approach applicable albeit some completeness is lost. Moreover, we evaluate the prototype on real-world datasets.
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Baader, Franz, and Felix Distel. Exploring finite models in the Description Logic ELgfp. Technische Universität Dresden, 2008. http://dx.doi.org/10.25368/2022.168.

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In a previous ICFCA paper we have shown that, in the Description Logics EL and ELgfp, the set of general concept inclusions holding in a finite model always has a finite basis. In this paper, we address the problem of how to compute this basis efficiently, by adapting methods from formal concept analysis.
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Baader, Franz, and Felix Distel. A finite basis for the set of EL-implications holding in a finite model. Technische Universität Dresden, 2007. http://dx.doi.org/10.25368/2022.160.

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Formal Concept Analysis (FCA) can be used to analyze data given in the form of a formal context. In particular, FCA provides efficient algorithms for computing a minimal basis of the implications holding in the context. In this paper, we extend classical FCA by considering data that are represented by relational structures rather than formal contexts, and by replacing atomic attributes by complex formulae defined in some logic. After generalizing some of the FCA theory to this more general form of contexts, we instantiate the general framework with attributes defined in the Description Logic (
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Borchmann, Daniel. A General Form of Attribute Exploration. Technische Universität Dresden, 2013. http://dx.doi.org/10.25368/2022.192.

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We present a general form of attribute exploration, a knowledge completion algorithm from formal concept analysis. The aim of this generalization is to extend the applicability of attribute exploration by a general description. Additionally, this may also allow for viewing different existing variants of attribute exploration as instances of a general form, as for example exploration on partial contexts.
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Borchmann, Daniel. Exploration by Confidence. Technische Universität Dresden, 2013. http://dx.doi.org/10.25368/2022.194.

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Within formal concept analysis, attribute exploration is a powerful tool to semiautomatically check data for completeness with respect to a given domain. However, the classical formulation of attribute exploration does not take into account possible errors which are present in the initial data. We present in this work a generalization of attribute exploration based on the notion of confidence, which will allow for the exploration of implications which are not necessarily valid in the initial data, but instead enjoy a minimal confidence therein.
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Соловйов, Володимир Миколайович, and V. Saptsin. Heisenberg uncertainty principle and economic analogues of basic physical quantities. Transport and Telecommunication Institute, 2011. http://dx.doi.org/10.31812/0564/1188.

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From positions, attained by modern theoretical physics in understanding of the universe bases, the methodological and philosophical analysis of fundamental physical concepts and their formal and informal connections with the real economic measuring is carried out. Procedures for heterogeneous economic time determination, normalized economic coordinates and economic mass are offered, based on the analysis of time series, the concept of economic Plank's constant has been proposed. The theory has been approved on the real economic dynamic's time series, including stock indices, Forex and spot pri
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Soloviev, V., V. Solovieva, and V. Saptsin. Heisenberg uncertainity principle and economic analogues of basic physical quantities. Брама-Україна, 2014. http://dx.doi.org/10.31812/0564/1306.

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From positions, attained by modern theoretical physics in understanding of the universe bases, the methodological and philosophical analysis of fundamental physical concepts and their formal and informal connections with the real economic measurings is carried out. Procedures for heterogeneous economic time determination, normalized economic coordinates and economic mass are offered, based on the analysis of time series, the concept of economic Plank's constant has been proposed. The theory has been approved on the real economic dynamic's time series, including stock indices, Forex and spot pr
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Soloviev, V., and V. Solovieva. Quantum econophysics of cryptocurrencies crises. [б. в.], 2018. http://dx.doi.org/10.31812/0564/2464.

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Résumé :
From positions, attained by modern theoretical physics in understanding of the universe bases, the methodological and philosophical analysis of fundamental physical concepts and their formal and informal connections with the real economic measuring is carried out. Procedures for heterogeneous economic time determination, normalized economic coordinates and economic mass are offered, based on the analysis of time series, the concept of economic Plank's constant has been proposed. The theory has been approved on the real economic dynamic's time series, related to the cryptocurrencies market, the
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Kelly, Luke. Definitions, Characteristics and Monitoring of Conflict Economies. Institute of Development Studies (IDS), 2022. http://dx.doi.org/10.19088/k4d.2022.024.

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The idea of conflict economies is a broad concept encompassing several research angles. Definitions differ according to these focuses. Some of the main uses of the concept are to understand: • economic analysis of the motives for and likelihood of war • financing of state and non-state belligerents • how the continuation of conflicts can be explained by rational motives including economic ones • how conflict affects economic activity, and how conflict parties and citizens adapt Some distinctive characteristics of war economies are (Ballentine &amp; Nitzschke, 2005, p. 12): • They involve the d
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