FCA in Artificial Intelligence: State of the Art and Perspectives

Zhi Hao Peng; Wei Luo; An Sheng Deng

doi:10.4028/www.scientific.net/AMR.978.217

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Data Processing and Information Technology with an Iterative Correction Evaluation Model
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Data Processing with Computation in Bayes Reliability Analysis for Burr Type X Distribution under Different Loss Functions
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An Approach of Process Planning Using Ant Colony Optimization Algorithm
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Research on Information System with Analysis and Exploration of Campus E-Commerce Model
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FCA in Artificial Intelligence: State of the Art and Perspectives
p.217

Data Processing and Modelling with Information Technology in Choosing College Best Trainer
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Research on RFID Anti-Collision Algorithms Based on Quadtree
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Applied-Information Technology with Different Sub-Grid Models in Large Eddy Simulation
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Applied-Information Technology in Tourism Management System Research and Design Based on J2EE
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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 978FCA in Artificial Intelligence: State of the Art...

FCA in Artificial Intelligence: State of the Art and Perspectives

Abstract:

Formal Concept Analysis (FCA) is well-founded mathematical theory which has been widely used for many AI needs such as software engineering, knowledge processing, ontology engineering etc. This is a survey paper in which we analyze recent literature on FCA and some closely related applications using FCA. Finally, the new trends and future perspectives are discussed.

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Periodical:

Advanced Materials Research (Volume 978)

Pages:

217-220

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.978.217

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Online since:

June 2014

Authors:

Zhi Hao Peng, Wei Luo, An Sheng Deng*

Keywords:

Concept Lattice, FCA, Formal Context

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* - Corresponding Author

References

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