Bibliographies thématiques / Fuzzy relational concept analysis

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Littérature scientifique sur le sujet « Fuzzy relational concept analysis »

Auteur : Grafiati
Publié le 10 mars 2023
Mis à jour le 31 juillet 2025

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

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Boffa, Stefania, Petra Murinová, and Vilém Novák. "A proposal to extend Relational Concept Analysis with fuzzy scaling quantifiers." Knowledge-Based Systems 231 (November 2021): 107452. http://dx.doi.org/10.1016/j.knosys.2021.107452.

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De Maio, C., G. Fenza, M. Gallo, V. Loia, and S. Senatore. "Formal and relational concept analysis for fuzzy-based automatic semantic annotation." Applied Intelligence 40, no. 1 (2013): 154–77. http://dx.doi.org/10.1007/s10489-013-0451-7.

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Nobuhara, Hajime, and Kaoru Hirota. "A Fuzzification of Morphological Wavelets Based on Fuzzy Relational Calculus and its Application to Image Compression/Reconstruction." Journal of Advanced Computational Intelligence and Intelligent Informatics 8, no. 4 (2004): 373–78. http://dx.doi.org/10.20965/jaciii.2004.p0373.

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A new style of fuzzy wavelets is proposed by the fuzzification of morphological wavelets. Due to the correspondence of the morphological wavelets operations and fuzzy relational ones, wavelets analysis/synthesis schemes can be formulated based on fuzzy relational calculus. To enable efficient image compression/reconstruction, the concept of the alpha-band which is an alpha-cut generalization, is also proposed for thresholding wavelets. In an image compression/reconstruction experiment using test images extracted from the Standard Image DataBAse (SIDBA), it is confirmed that the root mean squar
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Jiang, Xian-Ling, and Yi-Lin Zhao. "Grey Relational Method for Evaluating the Macro-Economy Performance with Triangular Fuzzy Information." Journal of Computational and Theoretical Nanoscience 13, no. 10 (2016): 7385–89. http://dx.doi.org/10.1166/jctn.2016.5730.

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The new theory comes when the current economic circumstance cannot be explained. The Great Depression in 1930s severely smashed the world economy and no explanations and policies were provided by the classical laissez-faire until the Roosevelt New Deal took the world economy out of depression. The macroeconomic theory has been brought out by John Maynard Keynes. Early this century, not only did the US Sub-prime crisis strongly affect the world economy, but also the macroeconomic theory. The development of the macroeconomic theory after the Sub-prime crisis becomes a hot topic. In this paper, w
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ALCALDE, CRISTINA, ANA BURUSCO, and RAMÓN FUENTES-GONZÁLEZ. "ANALYSIS OF CERTAIN L-FUZZY RELATIONAL EQUATIONS AND THE STUDY OF ITS SOLUTIONS BY MEANS OF THE L-FUZZY CONCEPT THEORY." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 20, no. 01 (2012): 21–40. http://dx.doi.org/10.1142/s021848851250002x.

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Given a Brouwerian complete lattice (L,≤) and two referential sets K and E, and using a fuzzy relation R ∈ LE×E which is reflexive and symmetric, certain fuzzy relations [Formula: see text] are characterized as solutions of X ⊲ R = X, proving that they play the role of the blocks in the context of crisp tolerance relations. Moreover, it is verified that these new fuzzy blocks [Formula: see text] can be determinated by means of the L-fuzzy concepts associated with the K -labeled L-fuzzy context (L,K,E,E,R).
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Močkoř, Jiří. "Cut Systems with Relational Morphisms for Semiring-Valued Fuzzy Structures." Axioms 12, no. 2 (2023): 153. http://dx.doi.org/10.3390/axioms12020153.

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Many of the new MV-valued fuzzy structures, including intuitionistic, neutrosophic, or fuzzy soft sets, can be transformed into so-called almost MV-valued fuzzy sets, or, equivalently, fuzzy sets with values in dual pair of semirings (in symbols, (R,R*)-fuzzy sets). This transformation allows any construction of almost MV-valued fuzzy sets to be retransformed into an analogous construction for these new fuzzy structures. In that way, approximation theories for (R,R*)-fuzzy sets, rough (R,R*)-fuzzy sets theories, or F-transform theories for (R,R*)-fuzzy sets have already been created and then r
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Huang, Sue-Fen. "Cognitive diagnostic assessment based on knowledge structure." MATEC Web of Conferences 169 (2018): 01020. http://dx.doi.org/10.1051/matecconf/201816901020.

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The purpose of this study is to provide an integrated method of fuzzy theory basis for individualized concept structure analysis. In order to insight the misconception of learning basic mathematics and progress teaching. This method integrates Fuzzy Logic Model of Perception (FLMP) and Interpretive Structural Modelling (ISM). The combined algorithm could analyze individualized concepts structure based on the comparisons with concept structure of expert. In this paper, some well-known knowledge structure assessment methods will be discussed. For item connection, Bart et al ordering theory and T
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Alqahtani, Mohammed. "Intuitionistic Fuzzy Quasi-Supergraph Integration for Social Network Decision Making." International Journal of Analysis and Applications 23 (June 9, 2025): 137. https://doi.org/10.28924/2291-8639-23-2025-137.

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This study explores the complexities of intuitionistic fuzzy (hyper) graphs, considering them as complex (hyper) networks, and presents a unique idea for intuitionistic fuzzy (quasi) superhypergraphs. The extension considers intuitionistic fuzzy superhypergraphs to be complicated superhyper networks to establish particular and general links between labeled items. These intuitionistic fuzzy (quasi) superhypergraphs arrange labeled object groups and analyze them in several relational aspects at the same time, including part-to-part, part-to-whole, and whole-to-whole groupings. The research inves
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Wei, Qian. "Product Shape Design Scheme Evaluation Method Based on Spatial Data Mining." Mathematical Problems in Engineering 2022 (July 20, 2022): 1–8. http://dx.doi.org/10.1155/2022/3231357.

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The stage of product modeling design implies a lot of complex tacit knowledge, which is the embodiment of the design concept centered on product modeling design and is also the hot spot and difficulty of modern design theory and method research. Aiming at the evaluation and decision of product modeling design scheme, a decision-making method of approaching ideal solution ranking based on grey relational analysis was proposed, which realized the convergence of tacit knowledge. The empty association rule is an important knowledge content of spatial data mining. A fuzzy genetic algorithm can solv
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Riaz, Muhammad, Muhammad Tahir Hamid, Deeba Afzal, Dragan Pamucar, and Yu-Ming Chu. "Multi-criteria decision making in robotic agri-farming with q-rung orthopair m-polar fuzzy sets." PLOS ONE 16, no. 2 (2021): e0246485. http://dx.doi.org/10.1371/journal.pone.0246485.

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q-Rung orthopair fuzzy set (qROFS) and m-polar fuzzy set (mPFS) are rudimentary concepts in the computational intelligence, which have diverse applications in fuzzy modeling and decision making under uncertainty. The aim of this paper is to introduce the hybrid concept of q-rung orthopair m-polar fuzzy set (qROmPFS) as a hybrid model of q-rung orthopair fuzzy set and m-polar fuzzy set. A qROmPFS has the ability to deal with real life situations when decision experts are interested to deal with multi-polarity as well as membership and non-membership grades to the alternatives in an extended dom
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Thèses sur le sujet "Fuzzy relational concept analysis"

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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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Nica, Cristina. "Exploring sequential data with relational concept analysis." Thesis, Strasbourg, 2017. http://www.theses.fr/2017STRAD032/document.

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De nombreuses méthodes d’extraction de motifs séquentiels ont été proposées pour découvrir des motifs utiles qui décrivent les données analysées. Certaines de ces travaux se sont concentrés sur l’énumération efficace de motifs partiellement ordonnés fermés (cpo-motifs), ce qui rend leur évaluation difficile pour les experts, car leur nombre peut être important. Par suite, nous proposons une approche nouvelle, qui consiste à extraire directement des cpo-motifs multi-niveaux qui sont organisés dans une hiérarchie. Nous proposons une méthode originale dans la cadre de l’Analyse Relationnelle de C
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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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Kanade, Parag M. "Fuzzy ants as a clustering concept." [Tampa, Fla.] : University of South Florida, 2004. http://purl.fcla.edu/fcla/etd/SFE0000397.

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Rudolph, Sebastian. "Relational Exploration: Combining Description Logics and Formal Concept Analysis for Knowledge Specification." Doctoral thesis, Technische Universität Dresden, 2006. https://tud.qucosa.de/id/qucosa%3A25002.

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Facing the growing amount of information in today's society, the task of specifying human knowledge in a way that can be unambiguously processed by computers becomes more and more important. Two acknowledged fields in this evolving scientific area of Knowledge Representation are Description Logics (DL) and Formal Concept Analysis (FCA). While DL concentrates on characterizing domains via logical statements and inferring knowledge from these characterizations, FCA builds conceptual hierarchies on the basis of present data. This work introduces Relational Exploration, a method for acquiring comp
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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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Rudolph, Sebastian [Verfasser]. "Relational exploration : combining description logics and formal concept analysis for knowledge specification / von Sebastian Rudolph." Karlsruhe : Univ.-Verl. Karlsruhe, 2007. http://d-nb.info/983756430/34.

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Rudolph, Sebastian. "Relational Exploration." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2007. http://nbn-resolving.de/urn:nbn:de:swb:14-1172682174599-12286.

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Facing the growing amount of information in today's society, the task of specifying human knowledge in a way that can be unambiguously processed by computers becomes more and more important. Two acknowledged fields in this evolving scientific area of Knowledge Representation are Description Logics (DL) and Formal Concept Analysis (FCA). While DL concentrates on characterizing domains via logical statements and inferring knowledge from these characterizations, FCA builds conceptual hierarchies on the basis of present data. This work introduces Relational Exploration, a method for acquiring comp
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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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Kandasamy, Meenakshi. "Approaches to Creating Fuzzy Concept Lattices and an Application to Bioinformatics Annotations." Miami University / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=miami1293821656.

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Livres sur le sujet "Fuzzy relational concept analysis"

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J, Skolnick Neil, and Warshaw Susan C, eds. Relational perspectives in psychoanalysis. Analytic Press, 1992.

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Ciappei, Cristiano, and Massimiliano Pellegrini, eds. Facility management for global care. Firenze University Press, 2010. http://dx.doi.org/10.36253/978-88-6453-088-8.

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The aim of this work is to bring the study of facility management, that is the management of the services connected with the maintenance and valorisation of real estate, to a higher and more complete level. We have sought to overcome the – albeit inevitable – engineering/efficientist approach, to arrive at an all-round promotion and analysis of the discipline, hinging on the concept of service. This means, first and foremost, rediscovering the relational aspect apropos the clientele and, starting from this, moving towards a restructuring of the service where the aim is to meet personal require
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Skolnick, Neil J., and Susan C. Warshaw. Relational Perspectives in Psychoanalysis. Taylor & Francis Group, 2015.

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Skolnick, Neil J., and Susan C. Warshaw. Relational Perspectives in Psychoanalysis. Taylor & Francis Group, 2015.

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Skolnick, Neil J., and Susan C. Warshaw. Relational Perspectives in Psychoanalysis. Taylor & Francis Group, 2015.

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Skolnick, Neil J., and Susan C. Warshaw. Relational Perspectives in Psychoanalysis. Taylor & Francis Group, 2015.

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Gross, Justin H., and Joshua M. Jansa. Relational Concepts, Measurement, and Data Collection. Edited by Jennifer Nicoll Victor, Alexander H. Montgomery, and Mark Lubell. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780190228217.013.7.

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Political phenomena are inherently relational, so it is natural that network analysis should come to play an important role in the study of politics. And yet relational data present special practical and methodological problems. The network data scholars would like to collect are often incomplete or altogether inaccessible. It is tempting to take whatever data are available and treat these as a proxy for the desired variables. This chapter reviews the most prominent relational concepts in political science and the operationalization strategies and data collection techniques typically employed.
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Schneider, Volker. Hugh Heclo, “Issue Networks and the Executive Establishment”. Edited by Martin Lodge, Edward C. Page, and Steven J. Balla. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199646135.013.28.

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This chapter comments on Hugh Heclo’s 1978 paper “Issue Networks and the Executive Establishment,” an innovative analysis of modern politics based on four analytical perspectives of public policy: an actor-centered or agent-based dynamic perspective, a relational perspective, a cultural or cognitive perspective, and a long-term perspective. Widely regarded as a classic in policy analysis and public administration, Heclo’s paper uses the concept of “issue networks” to describe the highly intricate and diversified webs of influence that shape modern American policy-making. This chapter discusses
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Morphy, Howard. Art as Action, Art as Evidence. Edited by Dan Hicks and Mary C. Beaudry. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780199218714.013.0011.

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This article is a strong defence of the idea of ‘art’, but it also recognizes its complexity and the fact that as a concept, ‘art’ is fuzzy around the edges. It uses a concept of family resemblance and sees art objects as forming polythetic sets. The category contains within it an immense diversity and includes objects that have little in common with each other and require very different methods of analysis. However, at the heart of this concept of art lies a set of loosely connected features or themes around which the idea of art coalesces: art is a form of action, art production is integral
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Rushton, Cynda Hylton. Conceptualizing Moral Resilience. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190619268.003.0007.

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Moral resilience, the ability of an individual to preserve or restore integrity in response to moral adversity, draws on targeted scholarship of the broader concept of resilience in other contexts. This chapter builds on definitions in the literature and qualitative analysis of clinicians’ definitions of moral resilience in order to outline the key attributes of moral resilience. The foundation of moral resilience is personal and relational integrity. The attributes of self-regulation and self-awareness, such as mindfulness, buoyancy, moral efficacy, and self-stewardship, support the preservat
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Chapitres de livres sur le sujet "Fuzzy relational concept analysis"

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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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Boffa, Stefania, and Petra Murinová. "Logical Relations Between T-Scaling Quantifiers and Their Implications in Fuzzy Relational Concept Analysis." In Fuzzy Logic and Technology, and Aggregation Operators. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-39965-7_33.

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Šostak, Alexander, and Ingrīda Uļjane. "Fuzzy Relations: The Fundament for Fuzzy Rough Approximation, Fuzzy Concept Analysis and Fuzzy Mathematical Morphology." In Computational Intelligence and Mathematics for Tackling Complex Problems 4. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-07707-4_4.

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Bělohlávek, Radim. "Object-Attribute Fuzzy Relations and Fuzzy Concept Lattices." In Fuzzy Relational Systems. Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-0633-1_5.

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Bazin, Alexandre, Jessie Carbonnel, Marianne Huchard, Giacomo Kahn, Priscilla Keip, and Amirouche Ouzerdine. "On-demand Relational Concept Analysis." In Formal Concept Analysis. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21462-3_11.

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Kötters, Jens. "Object Configuration Browsing in Relational Databases." In Formal Concept Analysis. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20514-9_13.

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Cabrera, Inma P., Pablo Cordero, Emilio Muñoz-Velasco, and Manuel Ojeda-Aciego. "A Relational Extension of Galois Connections." In Formal Concept Analysis. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21462-3_19.

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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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Dolques, Xavier, Florence Le Ber, Marianne Huchard, and Clémentine Nebut. "Relational Concept Analysis for Relational Data Exploration." In Advances in Knowledge Discovery and Management. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23751-0_4.

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

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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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de Lemos, Francisco Luiz, Karl-Heinz Helmuth, and Terry Sullivan. "Transparent Tools for Uncertainty Analysis in High Level Waste Disposal Facilities Safety." In The 11th International Conference on Environmental Remediation and Radioactive Waste Management. ASMEDC, 2007. http://dx.doi.org/10.1115/icem2007-7277.

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In this paper some results of a further development of a technical cooperation project, initiated in 2004, between the CDTN/CNEN, The Brazilian National Nuclear Energy Commission, and the STUK, The Finnish Radiation and Nuclear Safety Authority, are presented. The objective of this project is to study applications of fuzzy logic, and artificial intelligence methods, on uncertainty analysis of high level waste disposal facilities safety assessment. Uncertainty analysis is an essential part of the study of the complex interactions of the features, events and processes, which will affect the perf
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Chen, Shyi-Ming, and Yonathan Randyanto. "Concept representation in intuitionistic fuzzy social relational networks." In 2014 IEEE International Conference on Systems, Man and Cybernetics - SMC. IEEE, 2014. http://dx.doi.org/10.1109/smc.2014.6974006.

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Feng Jiang, Youxin Meng, and Yun Liu. "Formal concept analysis in relational contexts." In 2008 IEEE International Conference on Granular Computing (GrC-2008). IEEE, 2008. http://dx.doi.org/10.1109/grc.2008.4664730.

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Mateiu, Patricia, Adrian Groza, and Cristina Nica. "Learning Ontologies with Relational Concept Analysis." In 2022 IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics (SAMI). IEEE, 2022. http://dx.doi.org/10.1109/sami54271.2022.9780837.

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Begam, M. Farida. "Domain Ontology Construction using Formal Concept and Relational Concept Analysis." In 2021 2nd Global Conference for Advancement in Technology (GCAT). IEEE, 2021. http://dx.doi.org/10.1109/gcat52182.2021.9587855.

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Hacene, Mohamed Rouane, Amedeo Napoli, Petko Valtchev, Yannick Toussaint, and Rokia Bendaoud. "Ontology Learning from Text Using Relational Concept Analysis." In 2008 International MCETECH Conference on e-Technologies. IEEE, 2008. http://dx.doi.org/10.1109/mcetech.2008.29.

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Tiwari, Ashutosh, Q. M. Danish Lohani, and Pranab K. Muhuri. "Intuitionistic Fuzzy Grey Relational Analysis Sorting Technique." In 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2022. http://dx.doi.org/10.1109/fuzz-ieee55066.2022.9882547.

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Chen, Zhijie, Weizhen Chen, Qile Chen, and Mian-Yun Chen. "Trend Relational Analysis and Grey-Fuzzy Clustering Method." In Proceedings of the 2006 SIAM International Conference on Data Mining. Society for Industrial and Applied Mathematics, 2006. http://dx.doi.org/10.1137/1.9781611972764.21.

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Gao, Zhi-Yong, Yong-Quan Liang, and Shu-Han Qiao. "Relational Database Ontology Discovery Method Based on Formal Concept Analysis." In 3rd Annual International Conference on Mechanics and Mechanical Engineering (MME 2016). Atlantis Press, 2017. http://dx.doi.org/10.2991/mme-16.2017.101.

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Rapports d'organisations sur le sujet "Fuzzy relational 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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Hernández Orellana, Marisol. Educating for the Future: Why Universities Must Lead the Way in Ethical and Digital Competence. Carver University; Universidad Autónoma de Chile, 2025. https://doi.org/10.32457/hernandez2202597.

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As artificial intelligence (AI) reshapes our world, higher education faces a pivotal decision: will it merely adopt these technologies or will it actively guide their integration in ways that preserve human judgment, ethics, and intellectual autonomy? This opinion article argues that universities must take a leadership role—not only to safeguard their institutional identity but also to contribute to a society populated by digitally competent, ethically grounded professionals. Recent studies show that AI tools like ChatGPT and Wolfram Alpha are increasingly used by students to automate complex
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Oyler-McCance, Sara, Lee Jones, Blake McCann, et al. A metapopulation strategy to support long term conservation of genetic diversity in Department of the Interior bison. National Park Service, 2024. https://doi.org/10.36967/2307352.

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Once numbering in the tens of millions, plains bison (Bison bison bison) were nearly driven to extinction with only a few hundred individuals remaining by the late 19th century. Plains bison have since recovered to approximately 20,000 animals managed in conservation herds throughout North America, yet substantial challenges to their recovery remain. The Department of the Interior (DOI) is working with diverse partners to steward approximately 11,000 bison in 18 conservation herds across 12 states. Most herds exist in areas without native predators, and removals are required to keep herd sizes
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