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Finding Fuzzy Concepts for Creative Knowledge Discovery

https://doi.org/10.1002/int.21576
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/aris.1440400120openalex-snapshot
Formal concept analysis in information science
inferredcites →https://doi.org/10.1002/int.20450openalex-snapshot
Discovery of time-varying relations using fuzzy formal concept analysis and associations
inferredcites →https://doi.org/10.1007/978-1-4615-0633-1openalex-snapshot
Fuzzy Relational Systems: Foundations and Principles
inferredcites →https://doi.org/10.1007/978-1-4615-0925-7openalex-snapshot
Ontology Learning for the Semantic Web
inferredcites →https://doi.org/10.1007/978-3-540-32262-7_19openalex-snapshot
Crisply Generated Fuzzy Concepts
inferredcites →https://doi.org/10.1007/978-3-540-77094-7_16openalex-snapshot
Ontology-Based Fuzzy Retrieval for Digital Library
inferredcites →https://doi.org/10.1007/978-3-642-04125-9_62openalex-snapshot
Interval-Valued Fuzzy Formal Concept Analysis
inferredcites →https://doi.org/10.1007/978-3-642-31830-6_32openalex-snapshot
Bisociative Discovery in Business Process Models
inferredcites →https://doi.org/10.1007/978-3-7908-1772-0_21openalex-snapshot
Bootstrapping an Ontology-Based Information Extraction System
inferredcites →https://doi.org/10.1007/bfb0027881openalex-snapshot
Logical scaling in formal concept analysis
inferredcites →https://doi.org/10.1007/s10472-010-9199-5openalex-snapshot
Parallel algorithm for computing fixpoints of Galois connections
inferredcites →https://doi.org/10.1023/a:1021765902788openalex-snapshot
Learning to Match the Schemas of Data Sources: A Multistrategy Approach
inferredcites →https://doi.org/10.1109/5254.920602openalex-snapshot
Ontology learning for the Semantic Web
inferredcites →https://doi.org/10.1109/cisda.2009.5356563openalex-snapshot
mTRACK — Monitoring time-varying relations in approximately categorised knowledge
inferredcites →https://doi.org/10.1109/compsac.2007.161openalex-snapshot
Ontology Learning by Clustering Based on Fuzzy Formal Concept Analysis
inferredcites →https://doi.org/10.1109/fuzzy.2007.4295488openalex-snapshot
Scaling, Granulation, and Fuzzy Attributes in Formal Concept Analysis
inferredcites →https://doi.org/10.1109/fuzzy.2009.5277226openalex-snapshot
Towards an automatic fuzzy ontology generation
inferredcites →https://doi.org/10.1109/tfuzz.2010.2041006openalex-snapshot
Computing the Lattice of All Fixpoints of a Fuzzy Closure Operator
inferredcites →https://doi.org/10.1109/ukci.2012.6335758openalex-snapshot
Measuring change in fuzzy concept lattices
inferredcites →https://doi.org/10.1109/wi-iat.2009.312openalex-snapshot
A New Method for Fuzzy Formal Concept Analysis
inferredcites →https://doi.org/10.1145/359038.359042openalex-snapshot
Learning and reasoning by analogy
inferredcites →https://doi.org/10.1525/9780520340176-014openalex-snapshot
THE ACT OF CREATION
inferredcites →https://doi.org/10.4018/978-1-60566-858-1.ch011openalex-snapshot
Fuzzy Association Rules to Summarise Multiple Taxonomies in Large Databases
inferredcites →https://doi.org/10.7551/mitpress/1251.003.0020openalex-snapshot
Epilogue: Analogy as the Core of Cognition

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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A New Approach for the Analysis of Resistance to Change in the Digital Transformation Context
inferred← citeshttps://doi.org/10.1007/978-3-319-22915-7_17openalex-snapshot
Modeling Fuzzy Role Based Access Control Using Fuzzy Formal Concept Analysis
inferred← citeshttps://doi.org/10.1007/978-3-319-27212-2_20openalex-snapshot
Fuzzy Formal Concept Analysis Approach for Information Retrieval
inferred← citeshttps://doi.org/10.1007/s00500-013-1095-6openalex-snapshot
A general approach to the measurement of change in fuzzy concept lattices
inferred← citeshttps://doi.org/10.1007/s12530-014-9109-xopenalex-snapshot
Change mining in evolving fuzzy concept lattices
inferred← citeshttps://doi.org/10.1016/j.digbus.2022.100034openalex-snapshot
How digital startups use competitive intelligence to pivot
inferred← citeshttps://doi.org/10.1080/03081079.2013.862377openalex-snapshot
Fuzzy and rough formal concept analysis: a survey
inferred← citeshttps://doi.org/10.1109/eais.2013.6604101openalex-snapshot
Dynamic and evolving fuzzy concept lattices
inferred← citeshttps://doi.org/10.1109/ifsa-scis.2017.8023346openalex-snapshot
Graded associations in situation awareness
inferred← citeshttps://doi.org/10.1109/smc.2018.00443openalex-snapshot
Graded Concepts for Collaborative Intelligence
inferred← citeshttps://doi.org/10.1109/tfuzz.2017.2718495openalex-snapshot
Galois Connections Between a Fuzzy Preordered Structure and a General Fuzzy Structure
inferred← citeshttps://doi.org/10.1109/ukci.2012.6335758openalex-snapshot
Measuring change in fuzzy concept lattices
inferred← citeshttps://doi.org/10.1515/amcs-2016-0035openalex-snapshot
A comprehensive survey on formal concept analysis, its research trends and applications
inferred← citeshttps://doi.org/10.22266/ijies2018.1031.18openalex-snapshot
A Data-Sensitive Approach for Fuzzy Concept Extraction
inferred← citeshttps://doi.org/10.25560/82639openalex-snapshot
Data-driven and machine learning based design creativity
inferred← citeshttps://doi.org/10.29007/kbfsopenalex-snapshot
Learning Pattern Discovery: Impact of User-Centric Design Approach towards Enhancement of E-learning Systems
inferred← citeshttps://doi.org/10.3390/math12223590openalex-snapshot
A Formal Fuzzy Concept-Based Approach for Association Rule Discovery with Optimized Time and Storage
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