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Ontological Framework for Approximation

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What this work says

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

inferredcites →https://doi.org/10.1002/1098-111x(200101)16:1<57::aid-int6>3.0.co;2-yopenalex-snapshot
Information granules: Towards foundations of granular computing
inferredcites →https://doi.org/10.1007/11427834_8openalex-snapshot
Approximation Spaces and Information Granulation
inferredcites →https://doi.org/10.1007/3-540-32370-8_13openalex-snapshot
Classifiers Based on Approximate Reasoning Schemes
inferredcites →https://doi.org/10.1007/978-3-540-24750-0openalex-snapshot
Handbook on Ontologies
inferredcites →https://doi.org/10.1007/978-3-540-25929-9_13openalex-snapshot
Approximation Spaces and Information Granulation
inferredcites →https://doi.org/10.1007/978-3-540-25929-9_35openalex-snapshot
Constrained Sums of Information Systems
inferredcites →https://doi.org/10.1007/978-3-540-25929-9_41openalex-snapshot
Rough Set Methods in Approximation of Hierarchical Concepts
inferredcites →https://doi.org/10.1007/978-3-540-27794-1_9openalex-snapshot
Layered Learning for Concept Synthesis
inferredcites →https://doi.org/10.1007/978-3-540-88425-5openalex-snapshot
Rough Sets and Current Trends in Computing
inferredcites →https://doi.org/10.1007/978-3-642-18859-6_3openalex-snapshot
Information Granules and Rough-Neural Computing
inferredcites →https://doi.org/10.1007/978-3-642-18859-6_8openalex-snapshot
Approximation Transducers and Trees: A Technique for Combining Rough and Crisp Knowledge
inferredcites →https://doi.org/10.1007/978-3-7908-1797-3_1openalex-snapshot
A New Direction in AI Toward a Computational Theory of Perceptions
inferredcites →https://doi.org/10.1007/978-3-7908-1840-6openalex-snapshot
Rough Set Methods and Applications
inferredcites →https://doi.org/10.1007/978-3-7908-1840-6_5openalex-snapshot
Knowledge Discovery by Application of Rough Set Models
inferredcites →https://doi.org/10.1007/978-3-7908-1872-7openalex-snapshot
Computing with Words in Information/Intelligent Systems 2
inferredcites →https://doi.org/10.1007/978-3-7908-1873-4_10openalex-snapshot
Towards an Adaptive Calculus of Granules
inferredcites →https://doi.org/10.1007/978-3-7908-1883-3openalex-snapshot
Rough Sets in Knowledge Discovery 2
inferredcites →https://doi.org/10.1007/b136502openalex-snapshot
Transactions on Rough Sets III
inferredcites →https://doi.org/10.1007/b98175openalex-snapshot
Transactions on Rough Sets I
inferredcites →https://doi.org/10.1016/0022-0000(93)90048-2openalex-snapshot
Variable precision rough set model
inferredcites →https://doi.org/10.1016/s0165-0114(97)00077-8openalex-snapshot
Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic
inferredcites →https://doi.org/10.1016/s0888-613x(96)00072-2openalex-snapshot
Rough mereology: A new paradigm for approximate reasoning
inferredcites →https://doi.org/10.1017/cbo9780511895968openalex-snapshot
Information Flow
inferredcites →https://doi.org/10.1109/fuzzy.1998.687468openalex-snapshot
Towards adaptive calculus of granules
inferredcites →https://doi.org/10.1145/219717.219791openalex-snapshot
Rough sets
inferredcites →https://doi.org/10.3233/fi-1996-272311openalex-snapshot
TOLERANCE APPROXIMATION SPACES
inferredcites →https://doi.org/10.7551/mitpress/4151.001.0001openalex-snapshot
Layered Learning in Multiagent Systems

What points at this work

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

inferred← citeshttps://doi.org/10.1007/11847465_3openalex-snapshot
Rough Sets and Vague Concept Approximation: From Sample Approximation to Adaptive Learning
inferred← citeshttps://doi.org/10.1007/978-3-540-37017-8_2openalex-snapshot
Rough Sets and Conflict Analysis
inferred← citeshttps://doi.org/10.1007/978-3-540-72458-2_53openalex-snapshot
Granulation Based Approximate Ontologies Capture
inferred← citeshttps://doi.org/10.1007/978-3-540-88425-5_22openalex-snapshot
Similarity Relation in Classification Problems
inferred← citeshttps://doi.org/10.1007/978-3-540-89876-4_26openalex-snapshot
Hierarchical Classifiers for Complex Spatio-temporal Concepts
inferred← citeshttps://doi.org/10.1007/978-3-642-11479-3_5openalex-snapshot
Satisfiability Judgement under Incomplete Information
inferred← citeshttps://doi.org/10.1007/978-3-642-28667-4_2openalex-snapshot
Rough Sets
inferred← citeshttps://doi.org/10.1007/978-3-642-30344-9_3openalex-snapshot
Rough Sets: From Rudiments to Challenges
inferred← citeshttps://doi.org/10.1016/j.ins.2006.06.003openalex-snapshot
Rudiments of rough sets
inferred← citeshttps://doi.org/10.1016/j.ins.2006.06.006openalex-snapshot
Rough sets: Some extensions
inferred← citeshttps://doi.org/10.1016/j.ins.2006.06.007openalex-snapshot
Rough sets and Boolean reasoning
inferred← citeshttps://doi.org/10.1109/bigdata52589.2021.9671481openalex-snapshot
Toward automatic assessment of a risk of women’s health disorders based on ontology decision models and menstrual cycle analysis
inferred← citeshttps://doi.org/10.1109/grc.2007.6openalex-snapshot
Preface
inferred← citeshttps://doi.org/10.1109/grc.2010.100openalex-snapshot
Ontology Building from Incomplete Information System Based on Granular Computing
inferred← citeshttps://doi.org/10.15439/2020f202openalex-snapshot
Generating Fuzzy Linguistic Summaries for Menstrual Cycles
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